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Model Context Protocol

MCP is not a model router. It is a protocol boundary that helps an AI application discover and use context or tools, which makes permission and trust decisions especially important.

Third-party guideReviewed 2026-09-26stdio or Streamable HTTP, depending on the server
Independent guide This is a third-party tool; these guides are not DeveloperHA products. Features, providers, pricing and security defaults can change; verify the official documentation before installing or sending private data.

What it does

A protocol for connecting AI applications with external data sources, prompts and tools through a standardized interface.

1
An AI host creates a client connection to an MCP server.

An AI host creates a client connection to an MCP server.

2
The server advertises resources, prompts or tools according to the protocol.

The server advertises resources, prompts or tools according to the protocol.

3
The host decides what the user can see, which calls need approval and what credentials are available.

The host decides what the user can see, which calls need approval and what credentials are available.

4
The tool result returns to the host and may become model context.

The tool result returns to the host and may become model context.

Who it may fit

Choose based on the workflow and trust boundary, not only the feature list.

Good fit for

  • Connecting assistants to controlled data and tools
  • Reusable integrations across supported AI hosts
  • Learning explicit tool schemas and permission boundaries

Verify before using

  • An MCP server can expose data access or code execution paths; review it like any other dependency.
  • A protocol does not grant authorization or make a third-party server trustworthy.
  • Use least privilege, approval for impactful actions and clear transport authentication.

Setup outline

Use this as a mental checklist, then follow the official documentation for the current install and configuration details.

1
Read the official introduction and specification.
2
Start with a local read-only server or an example you understand.
3
Inspect advertised tools and schemas before enabling them.
4
Add authorization, logging and an explicit approval policy before connecting production data.
Illustrative endpoint or configuration
Host application
  └─ MCP client
       └─ MCP server
            ├─ resources
            ├─ prompts
            └─ tools

// The host still owns user consent and authorization.
Data and security reminder A local endpoint does not prove that prompts stay local. Check upstream provider routes, request logs, retention, model training policy, secret storage, network exposure and fallback behavior before using private code or customer data.

Official sources

These links are the authority for current installation, capabilities, releases and security notices.

Official MCP introduction ↗Official specification ↗Official MCP documentation ↗

This editorial page was reviewed on 2026-09-26. Project details may change between reviews.

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