Model Context Protocol
Model Context Protocol (MCP) is an open standard for connecting AI agents to external tools, data sources, and services through a structured client-server protocol with defined methods for tool discovery and invocation.
Why this matters for AI agents
MCP is rapidly becoming the standard interface between agents and tools. It defines how tools are discovered and called, but it does not define who is allowed to call which tool under what conditions.
How AgntID relates
AgntID operates at the MCP layer as an embedded proxy within the MCP request path, evaluating every tools/call invocation against access policy before forwarding or denying.
The static IAM gap
MCP handles tool discovery and communication. It does not include an authorization layer for per-tool, per-task access decisions.
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Frequently asked questions
What is Model Context Protocol (MCP)?
Model Context Protocol (MCP) is an open standard for connecting AI agents to external tools, data sources, and services through a structured client-server protocol with defined methods for tool discovery and invocation.
Does MCP include authorization?
No. MCP defines how tools are discovered and called, but it does not define who is allowed to call which tool under what conditions—that is the MCP authorization gap.
How does AgntID integrate with MCP?
AgntID operates at the MCP layer. It sits as an embedded proxy within the MCP request path, evaluating every tools/call invocation against access policy before forwarding or denying.
Secure every agent tool call at execution time.
AgntID gives infrastructure teams scoped, ephemeral access control for AI agents without replacing IAM, MCP servers, tools, or agent frameworks.