Tag: MCP adoption
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Skills Aren’t the MCP Killer: Notes from the Best Talk at MCP Dev Summit
A live demo revealed a critical AI security flaw. Here’s why skills + MCP are essential for safe, scalable enterprise AI.
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MCP Is Just Getting Started: Unpacking MCP Founder’s Vision for 2026
MCP adoption is accelerating fast, but enterprise readiness requires governance. Learn what’s next in 2026 and how to scale securely with Obot.
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What Uber’s MCP Journey Tells Us About Enterprise MCP Strategy
Learn about Uber’s enterprise MCP strategy and its practical applications shared at the MCP Dev Summit North America.
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MCP Enterprise Architecture That Actually Works: The Complete Reference Guide
The final post in Obot’s 10-part series on enterprise MCP. Pull together identity, access, audit, and data layers into a single reference architecture — with a checklist to evaluate where…
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Navigating MCP Architecture’s Awkward Adolescence
If you’ve been building with MCP for any length of time, you’ve probably already discovered that the protocol works exactly as advertised, and that working as advertised creates its own…
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MCP Dynamic Client Registration: Why it Matters and How To Accomplish it with Entra
MCP Dynamic Client Registration is required by the MCP spec, but Microsoft Entra ID does not support it. Here’s what that means for enterprise deployments—and the control plane pattern that…
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MCP Management: What Comes After Building the Servers
MCP management is the hard part of enterprise AI adoption. Learn how to handle governance, access control, employee discovery, and security at scale.
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MCP Identity Management at Enterprise Scale: Solving the OAuth Sprawl Problem
Learn how to navigate MCP identity management challenges with insights for managing multiple servers effectively.
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Hosted MCP vs Self-Hosted MCP vs Local MCP: How to Choose
Compare hosted, self-hosted, and local MCP deployment models, including tradeoffs around speed, control, security, and operations.
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Single MCP Gateway vs Multiple MCP Servers
The world of MCP (Model Context Protocol) is growing fast. As more teams connect AI clients like Claude, Cursor, and VS Code to internal tools, a common architectural question appears:…
