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Developer tools · MCP server

Crapkit: MCP server, setup and security

Crapkit is an open-source MCP server that lets an AI agent identify functions to fix next using complexity and coverage scores. Its repository has 1 stars and its last commit is from October 6, 2026 and it is licensed under MIT.

OfficialActively maintained

What Crapkit does

According to its repository: “Read-only per-function CRAP scores (complexity and coverage) that point to the worst function to fix next, with uncovered lines and near-duplicates.”

An MCP server gives an AI agent extra tools it calls during the conversation: the agent reads their description, decides to use them and gets the result back. Crapkit is listed under Developer tools, a category of 475 servers in the directory, where it ranks #464 by stars.

Topics declared by the repository: claude-code, code-quality, coverage, cyclomatic-complexity, pre-commit, python.

Installing and connecting Crapkit

Distribution modes declared in the official MCP registry:

  • PyPI package (Python, started with uvx or pip)

Like any MCP server, you declare it in your client's configuration (Claude Desktop, Claude Code, Cursor, VS Code, Codex…): a name, the command that starts it or its URL, and any environment variables. The client then starts it and lists its tools. Project language: Python. Listed systems: macOS, Windows, Linux.

Security: what to check

An MCP server runs code with the rights you give it, and the model reads its tool descriptions: a malicious or compromised server can hijack the agent. Read the code, or pick a maintained and widely used server, before connecting it.

None of the risk signals we track (system access, secrets, missing licence, abandonment) applies to Crapkit. That does not replace reading the code.

Good practice: grant only the rights needed (least privilege), require human approval for irreversible actions, and run the AI agent security check.

Project activity and maintenance

Created on August 24, 2026, the JeanFrancoisGagne/crapkit repository has 1 stars and 1 forks, with 7 open issues. It has more stars than 7% of the servers in the directory. It received changes this month. Version published in the registry: 0.8.1 (October 1, 2026).

Stars measure attention, not quality: a recent, heavily promoted project can collect them fast, while a useful but niche server will have few.

StorybookStorybook : 91.4K91.4KFront End ChecklistFront End Checklist : 74.6K74.6KTldrawTldraw : 51.1K51.1KCodebase MemoryCodebase Memory : 47.4K47.4KCCXTCCXT : 44.5K44.5KPostHog MCP ServerPostHog MCP Server : 40.4K40.4KClaude task masterClaude task master : 28.3K28.3KAgent Skills Search ServerAgent Skills Search Server : 26.6K26.6KCrapkitCrapkit : 11
GitHub stars of the most followed servers in the category (log scale); Crapkit in orange. Checked October 25, 2026.

Verdict

Crapkit is a reasonable choice; check the points below before connecting it.

Strengths

  • Maintained by the service's own vendor
  • Active project: recent commit
  • Listed in the official MCP registry
  • Permissive licence (MIT)

Limitations

  • Few visible users

Frequently asked questions

How do I install Crapkit?

Crapkit is distributed as PyPI package (Python, started with uvx or pip). Add it to your client's MCP configuration (Claude Desktop, Cursor, VS Code…) following the README of JeanFrancoisGagne/crapkit.

Is Crapkit free?

The code is published under the MIT licence and can be used free of charge.

Is Crapkit safe?

No risk signal found (system access, secrets, licence, abandonment). As with any MCP server, keep rights minimal and read the code before sensitive use.

Is it an official server?

Yes: the awesome-mcp-servers list marks it as the service vendor's official implementation.

What are the alternatives to Crapkit?

In the same category: Radar Kubernetes MCP Server, Repowise, Jscpd, and Apify MCP server. Radar Kubernetes MCP Server and Repowise score higher on our grid.

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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score