Introducing Obot

Announcing Obot MCP Gateway v0.11: Project Sharing, Power User Roles, and More

Discover Obot MCP Gateway v0.11 — now with project sharing, power user roles, enhanced permissions, and governance upgrades for scalable enterprise MCP deployment.

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Obot AI Secures $35M Seed to Build Enterprise MCP Gateway

Obot raises $35M seed funding to accelerate development of its enterprise-grade MCP Gateway—enhancing governance, security, and scalability for MCP deployments.

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Acorn Labs is Now Obot AI

Big news: Acorn Labs has a new name, a new look, and a bigger vision – We’re officially Obot AI. This change isn’t just about a logo swap—it’s about reflecting who we’ve become and where we’re headed. Since the launch of the Obot MCP Gateway we are focused on building powerful, real-world AI solutions with […]

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MCP Hosting: Building a Strategy for Deploying and Running MCP Servers in the Enterprise

Discover how to build a secure, scalable MCP hosting strategy—manage single-tenant, shared, and third-party MCP servers with centralized governance and control.

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Connecting Microsoft Office 365 MCP Servers in Obot

Connect Microsoft Office 365 via MCP in Obot to enable secure access to email, calendar, files & more—manage permissions, auditing, and governance centrally.

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Introducing Nanobot: A New Framework for Turning MCP Servers into AI Agents

Turn your MCP servers into fully interactive AI agents with Nanobot — get reasoning, tool orchestration, UI components, and rich agent behavior in one open-source framework.

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Hands-on workshop [London | Oct 1] Building Next Generation Agents with MCP and Next Generation Agentic UX powered by MCP UI

​Join the Obot AI & MCP-UI teams for a two-part hands-on session where we will build next generation AI agents that work as MCP servers and can provide rich, graphical interfaces using MCP UI.

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Update on the MCP Registry Project, new ChatGPT support for MCP and what it means for Enterprise AI

Learn about the launch of the MCP Registry, ChatGPT’s new MCP support, and how enterprises can use Obot’s MCP Gateway for secure discovery, governance & control.

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MCP Developers Summit [2 Oct | London]

On 2 Oct 2025 the Obot team will be in London at the MCP Dev Summit – register now to connect with us at the event!

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Deep dive into the Obot MCP Gateway

Get an in-depth look at the Obot MCP Gateway: architecture, access control, security features, cataloging, and observability for enterprise MCP adoption.

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Online Workshop [Sept 25 @ 9am PT] Bringing Model Context Protocol to the Enterprise: From Chaos to Catalog

Free hands-on workshop (Sep 25, 2025): Learn how to build a secure, scalable MCP catalog using best practices, architecture guidance, and a live Obot demo.

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Why Every Organization Needs an Enterprise MCP Strategy

Explore why enterprise-level MCP strategies are becoming mission-critical—empowering CIOs with scalable, secure AI tools and setting the stage for widespread MCP adoption.

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Building an MCP Registry: Why It Matters and How to Get It Right

Discover how to build an enterprise-grade MCP registry – centralize discovery, ensure governance, automate onboarding, and maintain secure AI infrastructure at scale.

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Managing Access Control for MCP Servers in the Enterprise

Learn how to implement enterprise-grade access control for MCP servers—integrate with identity providers, scale securely, simplify IT management, and ensure compliance.

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What Is Secure MCP Access? Why It Matters for Enterprise AI

Understanding secure MCP access and how to achieve it is critical for anyone adopting MCP across their organization.

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The Value of an MCP Proxy: Security, Control, and Observability for Enterprise AI

Learn why an MCP Proxy is essential for enterprise AI—enabling centralized security, access control, and observability for trusted MCP workflows.

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Online Workshop – Bringing Model Context Protocol to the Enterprise: From Chaos to Catalog

Free hands-on workshop (Sep 10, 2025): Learn how to build a secure, scalable MCP catalog using best practices, architecture guidance, and a live Obot demo.

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Security risks in the Model Context Protocol: What you need to know

Discover the top security threats in the Model Context Protocol (MCP)—from prompt injection to tool poisoning—and learn how to safeguard enterprise AI integrations.

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From Slack Pings to Answers: Five Lessons from Shipping an Enterprise MCP Server

Learn how MCP Slack Automation transformed Jira, Confluence, and New Relic queries into instant Slack answers with security, reliability, and trust.

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Evaluating Enterprise MCP Gateways

Explore how to evaluate enterprise MCP gateways — comparing Obot, Microsoft, IBM on security, catalog, deployment, integration, observability, and extensibility.

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Creating Your First MCP Server: A Step by Step Guide

Learn to build your first Model Context Protocol (MCP) server in Python—create tools, connect to Claude, fetch real-time data, and extend its functionality.

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Online Workshop: Bringing Model Context Protocol to the Enterprise: From Chaos to Catalog

Online Workshop: Bringing Model Context Protocol (MCP) to the Enterprise. Tune in Wed. Aug 20 @ 10am PT

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Introducing the Obot MCP Gateway

Obot MCP Gateway is a free, open-source platform to securely manage, catalog, and scale MCP server adoption in the enterprise—featuring role-based access, audit logging, and Kubernetes deployment.

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Understanding the Model Context Protocol: A  Beginner’s Guide

Learn how the Model Context Protocol (MCP) standardizes AI-to-tool communication—enabling secure, reliable, and scalable integrations across services.

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What are MCPs? A Simple Introduction

MCP or Model Context Protocol is a relatively new concept in the world of AI, but what is it and how can it help you?

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Top 15 MCP Servers

There are more and more MCP servers coming out every day, and the list is becoming long. There are a lot of good MCP servers, and a lot of MCP servers that might be useless to you.

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Beginner’s Guide to AI Agents with Obot

AI Agents are systems that can independently accomplish tasks on a user’s behalf with a high degree of autonomy.

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GPT 4 Playground: The Basics and a Quick Tutorial

What Is OpenAI Playground?  OpenAI Playground is an interactive web-based platform that allows users to experiment with OpenAI’s language models in real-time. It provides a user-friendly interface where you can input text prompts and receive model-generated completions. The Playground can be used with OpenAI’s latest models, including GPT-4o, GPT-4o Mini, and Dall·E 3. The Playground […]

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Midjourney Image Generator: Quick Tutorial and Best Practices

What Is Midjourney? Midjourney is an AI-based image generator that uses machine learning techniques to create unique and detailed images from text prompts. By processing natural language inputs, Midjourney can produce images that range from photorealistic scenes to abstract artistic interpretations. It is widely used for creative projects, concept art, and visual brainstorming, offering a […]

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15 Amazing GenAI Tools to Try in 2024

What Are GenAI Tools? GenAI tools, short for generative AI tools, leverage artificial intelligence to generate content across various mediums. They are trained on vast datasets, enabling them to perform tasks such as text writing, image creation, code generation, and video production. These tools augment human creativity by automating tasks and offering new ways to […]

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AI Agent Frameworks: Components & Top 5 Open Source Solutions

What Are AI Agent Frameworks? AI agent frameworks are software libraries or platforms that support the development, deployment, and management of intelligent agents. These agents can autonomously perceive their environment, make decisions, and perform tasks to achieve specific goals, often powered by machine learning, deep learning, or rule-based approaches. Frameworks provide reusable tools and standardized […]

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ChatGPT Advanced Data Analysis (Code Interpreter): Practical Guide

What Is ChatGPT Advanced Data Analysis (formerly Code Interpreter)? ChatGPT Advanced Data Analysis, previously known as Code Interpreter, is an AI-powered tool, provided as part of OpenAI’s popular generative AI platform, ChatGPT. It is designed to perform a wide range of data-related tasks, allowing users to interact with data using natural language prompts. This makes […]

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Anthropic Claude API: A Practical Guide

What Is Anthropic Claude? Claude is a large language model (LLM) developed by Anthropic, able to understand and generate human-like text based on a vast corpus of data. Named after Claude Shannon, the father of information theory, this model aims to set new standards in AI language processing by leveraging ethical AI principles and enhancing […]

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AI Copilots: Enterprise Use Cases and Key Considerations

What Is an AI Copilot? AI copilots are digital assistants that augment human capabilities. They utilize artificial intelligence, commonly large language models (LLMs), to assist with functions ranging from code generation to creative writing and decision making. Unlike basic automation systems, AI copilots refine their outputs based on contextual information, user interactions and feedback. They […]

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Working with Gemini API: Text Gen, Doc Processing & Code Execution

What Is the Google Gemini API? Google Gemini is a multi-modal large language model (LLM). It provides natural language and image processing capabilities to enable text generation, sentiment analysis, document processing, image and video analysis, and more. Using the Gemini API, developers can integrate AI functionalities into their applications without needing deep expertise in machine […]

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Code Interpreter: Traditional vs. LLM Use Cases & Top 5 Tools

What Is a Code Interpreter? A code interpreter is a program that directly executes instructions written in a programming language without requiring them to be compiled. Unlike compilers that convert high-level code into machine language, interpreters work by parsing and executing the source code line-by-line. This can be advantageous for debugging and development as errors […]

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AI Video Generators: Current-Gen vs. Next-Gen & 10 Notable Tools

What Are AI Video Generators? AI video generators are advanced software tools that use artificial intelligence and machine learning techniques to automate various aspects of video creation. These tools analyze input data, such as text, images, audio, or existing video segments, and transform it into dynamic video presentations. Current-generation video generators simplify the video creation […]

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7 AI Image Generation Tools Compared: Pros, Cons & Pricing

What Are AI Image Generation Tools? AI image generation tools are software applications that create images based on textual descriptions provided by users. Modern tools use generative diffusion algorithms to interpret the input text and generate detailed, realistic visuals. By converting text into images, image generation tools allow users to produce high-quality visuals quickly. This […]

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8 AI Summarization Tools to Know in 2024

What Are AI Summarization Tools? AI summarization tools use machine learning algorithms to condense large bodies of text into concise summaries. These tools employ natural language processing (NLP) techniques to understand and synthesize the most important information from the original text without losing context. AI summarization tools are deployed in various forms, such as standalone […]

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Parameter-Efficient Fine-Tuning (PEFT): The Basics and a Quick Tutorial

Parameter-Efficient Fine-Tuning (PEFT): The Basics and a Quick Tutorial Parameter-efficient fine-tuning (PEFT) modifies a subset of parameters in pre-trained neural networks, rather than updating all model parameters. Traditional fine-tuning methods can be computationally intensive, requiring significant resources and storage. PEFT aims to mitigate these challenges, focusing on adjusting a limited number of parameters to achieve […]

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Aisera: Overview of Platform, Solutions, Pros and Cons

What Is Aisera? Aisera provides AI-driven service automation solutions to enhance user experience and streamline enterprise operations. Utilizing machine learning and natural language processing technologies, Aisera delivers scalable solutions for IT service management, customer service, and enterprise operations. These AI tools enable organizations to automate and optimize workflows, reducing manual labor and increasing efficiency. By […]

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Building a Kubernetes Home Lab from the Ground Up

Introduction This is the first in an ongoing series of posts on building and running a Kubernetes Home Lab. I recently came across the concept of Home Lab, where you set up some servers at home to do miscellaneous stuff such as hosting home utilities or running various applications locally. Some examples of home utilities […]

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Selecting Between Docker Desktop, Rancher Desktop and Podman Desktop

We evaluated three leading local container management solutions to uncover their strengths and weaknesses. Building microservices applications requires developers to work closely with containers not just in the cloud, but locally on their development machine. In this article we will focus on finding the best tools when it comes to building and running a containerized […]

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Top 10 RAG Tutorials in 2024 + Bonus LangChain Tutorial

What Is Retrieval Augmented Generation (RAG)? Retrieval-augmented generation (RAG) combines large language models (LLMs) with external knowledge retrieval. Traditional LLMs generate responses based solely on pre-trained data. With RAG, the model can access updated and specific information at the time of inference, providing more accurate and context-rich responses. This method leverages repositories of external data, […]

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8 Prompt Engineering Examples for Common NLP Tasks

What Is Prompt Engineering? Prompt engineering involves crafting specific instructions or queries for large language models (LLMs) to get desired outputs. It plays a crucial role in fine-tuning the capabilities of models like OpenAI’s GPT-4o, Google Gemini, and Anthropic Claude, ensuring they deliver accurate, relevant, and contextually appropriate responses. Instead of merely providing a broad […]

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Mistral AI Solution Overview: Models, Pricing, and API

What Is Mistral AI? Mistral AI is a company focused on developing advanced large language models (LLMs) and specialized AI solutions. Founded by a team of experts in artificial intelligence and machine learning, Mistral AI aims to push the boundaries of what is possible with LLMs, offering state-of-the-art models designed to handle a wide range […]

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What Are AI Agents? Complete 2024 Guide

What Are AI Agents? AI agents are software entities that perform tasks autonomously. They make decisions based on predefined rules, machine learning models, or a blend of both. Their design centers around achieving specific goals without constant human intervention. These agents can range from simple mechanisms executing repetitive tasks to complex systems navigating dynamic environments […]

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LLM Platform: Key Features & 10 Solutions You Should Know

What Is an LLM Platform? An LLM platform provides an environment for developing, deploying, and managing large language models (LLMs), such as OpenAI GPT, Anthropic Claud, and Meta LLaMA, and applications that rely on them. These platforms provide the necessary infrastructure, tools, and features to streamline the entire lifecycle of LLMs, from data preparation and […]

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Open Interpreter: How It Works, Supported LLMs & Getting Started

What Is Open Interpreter? Open Interpreter is an open-source tool that allows developers to work with large language models (LLMs) on their local machine. It can be used via a terminal interface and supports popular programming languages, including Python, JavaScript, and Bash. With Open Interpreter, users can perform various tasks, such as conducting data analysis, […]

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Fine-Tuning Llama 2 with Hugging Face PEFT Library

Fine-Tuning Llama 2 with Hugging Face PEFT Library What Is LLaMA 2? LLaMA2, introduced by Meta in 2023, is a family of open-source large language model (LLM). It includes models with either 7 billion or 70 billion parameters. The number of parameters in an LLM determines the model’s ability to learn from data and generate […]

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Intelligent Automation: Pros/Cons, Use Cases & 5 Key Capabilities

Intelligent Automation: Pros/Cons, Use Cases, and 5 Key Capabilities What Is Intelligent Automation (IA)? Intelligent automation (IA) is the integration of artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA) to create systems that can perform both routine and complex tasks. These systems improve over time by learning from data and user interactions, […]

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Prompt Engineering in ChatGPT: 9 Proven Techniques

What Is Prompt Engineering in ChatGPT? Prompt engineering involves crafting inputs (prompts) that guide a large language model (LLM) to generate desired outputs. It’s a skill that combines understanding of natural language processing, creativity, and strategic thinking to communicate with the model. Prompt engineering can transform vague requests into precise commands that the AI interprets […]

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AI Image Generation in 2024: Tools, Technologies & Best Practices

What Is AI Image Generation? AI image generation refers to the process of creating visual content using artificial intelligence technologies. These technologies enable the creation of images from textual descriptions or other forms of input. Image generators use generative AI models to produce original, realistic visuals that can be used across industries from entertainment to […]

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LLM Application Development: Tutorial & 7 Steps to Production Apps

What Is LLM Application Development? LLM application development involves creating software applications that leverage large language models (LLMs) like OpenAI GPT or Meta LLaMA to understand, generate, or manipulate natural language. This process includes integrating LLMs into applications to perform tasks such as text summarization, question answering, and content generation. Developers in this field work […]

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Mistral 7B Instruct: The Basics and a Quick Tutorial

What Is the Mistral 7B Instruct Model? Mistral 7B Instruct is a language model with 7.3 billion parameters. It outperforms its predecessors and competitors on various benchmarks, including surpassing Llama 2 13B across all metrics and achieving superior results compared to Llama 1 34B on many benchmarks. Mistral 7B Instruct is particularly well-suited to code-related […]

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GPT 3 vs. GPT 4: 10 Key Differences & How to Choose

What Is GPT? GPT stands for Generative Pre-trained Transformer. It’s a series of AI language models developed by OpenAI that utilize deep learning techniques to produce human-like text. GPT can generate coherent and contextually relevant text based on a given prompt, making it useful for applications ranging from text completion to generating artistic content. GPT […]

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Meta LLaMA 3: Use Cases, Benchmarks, and How to Get Started

What Is Meta LLaMA 3? LLaMA 3 is the latest series of open-source large language models (LLMs) from Meta. It includes models with 8B and 70B parameters, designed for a wide array of applications and featuring enhanced capabilities that rival state of the art commercial LLMs. This is part of a series of articles about […]

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Meta LLaMa: Basics, How to Access & 5 Free Alternatives

What Is Meta LLaMA? Meta LLaMA (Large Language Model Meta AI) is a family of autoregressive large language models developed by Meta AI. First released in February 2023, these models are designed for advanced natural language processing tasks. The initial version of LLaMA provided model weights to the research community under a non-commercial license, allowing […]

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Google Gemini Pro: 8 Key Features, Models & Quick API Tutorial

What Is Google Gemini Pro? Google Gemini is a large language model (LLM) developed by Google. It is Google’s answer to popular, competing LLM technologies like OpenAI GPT-4 and Anthropic Claude. Gemini performs well on LLM benchmarks and incorporates novel technologies to improve computational speed, accuracy, and ability to process multi-modal inputs. Google Gemini Pro […]

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Open LLM Leaderboard: Benchmarks, Model Types & Filters Explained

What Is the Open LLM Leaderboard? The Open LLM Leaderboard, hosted on Hugging Face, evaluates and ranks open-source Large Language Models (LLMs) and chatbots. It serves as a resource for the AI community, offering an up-to-date, benchmark comparison of various open-source LLMs. This platform enables the submission of models for automated evaluation, ensuring standardized and […]

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Fine-Tuning LLMs: Top 6 Methods, Challenges and Best Practices

What Does It Mean to Fine-Tune LLMs? Fine-tuning Large Language Models (LLMs) involves adjusting pre-trained models on specific datasets to enhance performance for particular tasks. This process begins after general training ends. Users provide the model with a more focused dataset, which may include industry-specific terminology or task-focused interactions, with the objective of helping the […]

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Anthropic Claude 3: The Basics and a Quick API Tutorial

What Is Anthropic Claude 3? Claude 3 is the latest generation of large language models (LLMs) developed by Anthropic, first released on March 14, 2024. This model family consists of three editions: Claude 3 Haiku, Claude 3 Sonnet, and Claude 3 Opus. Each edition offers different levels of intelligence, speed, and cost-effectiveness. These models are […]

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Best LLM: Benchmarks, Leaderboards, & the World’s 8 Smartest LLMs

What Are LLM and What Are They Used For? An LLM, or Large Language Model, is an artificial intelligence system developed to understand, generate, and respond to human language. These models are trained on large amounts of text data, which allows them to understand and generate linguistic patterns in a way that approaches human ability. […]

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MCP Call Filtering: Stopping Prompt Injection and Securing Enterprise AI

As enterprises adopt Model Context Protocol (MCP) to connect AI agents and tools with internal systems, one of the biggest risks they face is untrusted or unsafe tool calls. Without safeguards, a malicious prompt, injected instruction, or poorly validated request could trigger dangerous behavior—such as exposing sensitive data, running unauthorized actions, or even spreading malware. […]

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LLM Security: Top 10 Risks, Impact, and Defensive Measures

What Is LLM Security? LLM security focuses on safeguarding large language models against various threats that can compromise their functionality, integrity, and the data they process. This involves implementing measures to protect the model itself, the data it uses, and the infrastructure supporting it. The goal is to ensure that these models operate as intended […]

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Cohere AI: Models, Pricing, and Quick API Tutorial

What Is Cohere AI? Cohere AI is a technology company focusing on large language model (LLMs) technologies for enterprise use cases. It provides LLM-based solutions that help customers understand, generate, and work with human language. Through its services, organizations can automate customer support, generate content, and extract insights from large volumes of text. Cohere AI’s […]

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AI for Summarizing Articles: How It Works & 10 Tools You Can Use

Why AI Summarization Matters: Key Benefits Over the past few years, AI technology has advanced and makes it possible to generate accurate, fluent summaries of textual documents. There are several advantages to using AI to summarize articles: This is part of a series of articles about AI summarization. In this article: How AI Article Summarization […]

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Mistral 7B: Basics, Benchmarks, and How to Get Started

What Is Mistral 7B? Mistral 7B is a large language model (LLM) developed by Mistral AI, featuring 7.3 billion parameters. This model has been open-sourced under the Apache 2.0 license, offering the community free and unrestricted access to its capabilities. The model is recognized for its exceptional performance, surpassing other models of similar size in […]

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Complete Guide to Google Gemini (Formerly Bard)

What Is Google Gemini? Google Gemini is a large language model (LLM) developed by Google, designed to handle intricate tasks that require human-like cognitive abilities. Google Gemini uses a unique multi-modal architecture, and is the first LLM trained on textual, image, and video data combined. The goal is to make the model better able to […]

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Anthropic Claude: Features, Benchmarks, Versions & API Tutorial

What Is Anthropic Claude? Anthropic Claude is an AI language model developed by Anthropic, an AI research company. It’s designed to process and generate human-like text based on the input it receives. This model aims to improve upon the capabilities of previous AI models by focusing on safety and steerability, ensuring that outputs are aligned […]

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OpenAI GPT-4: Architecture, Interfaces, Pricing & Alternatives

What Is OpenAI GPT-4? OpenAI GPT-4, or Generative Pre-trained Transformer 4, represents the latest iteration in OpenAI’s series of large language models (LLMs), designed to understand and generate human-like text based on prompts. This model builds on the capabilities of its predecessors, enhancing its ability to handle more nuanced and complex language tasks. As of […]

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RAG vs. LLM Fine-Tuning: 4 Key Differences and How to Choose

What Is RAG (Retrieval-Augmented Generation)? Retrieval-Augmented Generation (RAG) merges large language models (LLMs), typically based on the Transformer deep learning architecture, with retrieval systems to enhance the model’s output quality. RAG operates by fetching relevant information from large collections of texts (e.g., Wikipedia, a search engine index, or a proprietary dataset) and fuses this external […]

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18 Generative AI Applications and Adoption Best Practices

What Are Generative AI Applications? Generative AI is a branch of artificial intelligence that focuses on creating new content across various formats, including text, images, music, audio, and more recently, video. This capability is driven by foundation models, which are large, pre-trained AI models that can perform multiple tasks such as summarization, question answering, and […]

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Leaderboard of LLM Leaderboards: Top 7 LLM Listings & Their Criteria

What Are LLM Leaderboards? LLM leaderboards are platforms that rank Large Language Models (LLMs) based on their performance across various evaluation benchmarks. These leaderboards provide a comparative look at leading models, showing how each performs in tasks ranging from language understanding to content generation. They serve as a reference for researchers, developers, and users to […]

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AI Summarization: How It Works and 5 Tips for Success

What Is AI Summarization? AI summarization involves using artificial intelligence technologies to condense large amounts of text, audio, or video data into a more manageable and coherent form. This process retains the core information or themes, enabling easier comprehension and quicker absorption of substantial materials. The technology relies on machine learning algorithms to identify key […]

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Prompt Engineering in 2024: Techniques, Uses & Advanced Approaches

What Is Prompt Engineering? A “prompt” is an input to a natural language processing (NLP) model. Typically, it contains user instructions that tell the model what kind of output is desired. The model analyzes the prompt and based on its training, produces an output text, commonly known as a “completion”. Prompts are not new, but […]

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Understanding RAG: 6 Steps of Retrieval Augmented Generation (RAG)

What Is Retrieval Augmented Generation (RAG)? Retrieval Augmented Generation (RAG) is a machine learning technique that combines the power of retrieval-based methods with generative models. It is particularly used in Natural Language Processing (NLP) to enhance the capabilities of large language models (LLMs). RAG works by fetching relevant documents or data snippets in response to […]

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Introducing GPTScript …Officially

Last month I introduced GPTScript with a tweet and it’s been exciting to see how it’s captured people’s imagination. But other than that tweet and the readme on our GitHub repo, I never wrote a proper blog introducing GPTScript, which feels like an oversight. I am incredibly excited about the potential of GPTScript, and at […]

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A Complete Guide to Open Source Software

What Is Open Source Software? Open source software (OSS) is a type of software whose source code is available to the public. This means that anyone can view, modify, and distribute the software as they see fit. OSS is an alternative to the traditional proprietary software model, where the source code is kept secret and […]

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Comparing Nextcloud and ownCloud for Self-Hosted Cloud Storage

A few decades ago, data was in physical form. Whether it was personal photographs or a company’s financial records, all of them were on paper. However, with the changing technological landscape, everything moved from paper to silicon. From our vacation pictures to official financial records, everything went digital and was stored on computers. And that’s […]

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