implementing-mcp-tools

implementing-mcp-tools is an MCP server development skill for AI agents, published by PostHog in the posthog repository on GitHub. Skillspace rates implementing-mcp-tools C (71/100) and it passed the safety scan; the rating is based on static analysis only.

Guide for exposing PostHog product endpoints as MCP tools. Use when creating new or updating API endpoints, adding MCP tool definitions, scaffolding YAML configs, or writing serializers with good descriptions. Covers the full pipeline from Django serializer to generated TypeScript tool handler.

Grade
C
Quality
71 / 100
Safety
Passed
GitHub stars
35,560

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: a model that read it found it written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
94 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 1 other repositories, in 1 collections
Scope
Repo-internal: written for the repository it lives in. Edits PostHog's own Django serializers and endpoint YAML configs

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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