Model Context Protocol
A protocol for connecting AI applications with external tools, data and workflows. It helps separate an integration interface from the model that uses it.
The useful part
A protocol for connecting AI applications with external tools, data and workflows. It helps separate an integration interface from the model that uses it.
Who it helps
Builders evaluating integrations between AI clients and external capabilities.
Put it to work
Identify the client, server and required permissions. Begin with a read-only tool and verify the trust boundary before introducing actions.
Know the limits
Protocol compatibility is not a security review. Server behavior, tool permissions and untrusted tool outputs must be assessed individually.
What we reviewed
Editorial overview of the official documentation or collection entry point, supported by a captured source. No software execution, exhaustive linked-page review or independent reviewer is claimed.
Evidence and source statements
This entry links to the publisher’s captured documentation or collection overview.
Supporting excerpt: “MCP (Model Context Protocol) is an open-source standard for connecting AI applications to external systems. Using MCP, AI applications like”