Our review
This skill walks through building a Model Context Protocol server that exposes useful tools to an AI agent. It starts with the target service and its API, then covers tool schemas, authentication, implementation, testing, and evaluations. References include both Python and Node/TypeScript approaches, with attention to how a model discovers and uses the tools.
Use it when integrating an external service through a server you control. Skip it for a local helper that does not need a protocol server. The guide encourages broad API coverage and multiple evaluation cases, which may be excessive for a narrow integration. The quality of the result depends on correct authorization boundaries and the source service’s current documentation.
The folder includes Python evaluation and connection scripts plus a requirements file. The instructions suggest fetching current SDK documentation and using a server inspector; those steps require network access or local service processes. Review dependencies, credentials, and target API permissions before running or deploying any server.
For installation, open the linked maintainer folder and read its current SKILL.md, license, and supporting files. Copy the complete folder to a skills location your agent documents, or use an installer your agent supports. Begin with a small, low-risk task and confirm that the agent loaded the intended version. Our install guide covers those checks.
Source and license
Maintainer: Anthropic. Checked: October 18, 2026. The maintainer controls this repository; the current files may differ from the version we reviewed.