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GitHub Repository Intelligence MCP
x402
GitHub Repository Intelligence MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.15/call, status unknown (last checked 2026-09-15).
Analyzes a GitHub repository and returns structured intelligence about its code, contributors, activity, and metadata
Price / call$0.15
Success—
StatusUnknown
How this service works
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Output
Returns structured intelligence about the specified GitHub repository, potentially including: repository description and README summary, primary programming languages and their proportions, contributor list and activity, star/fork/watch counts, commit frequency and recency, open issues and pull request stats, and an overall health or activity assessment.
Example use cases
Due diligence on open source dependency
“I'm considering using https://github.com/fastapi/fastapi as a dependency in our product — can you give me an intelligence report on it, including how active it is, who maintains it, and what languages it uses?”
Competitor codebase research
“Pull intel on https://github.com/langchain-ai/langchain for me — I want to understand the contributor base, commit frequency, star growth, and the overall health of the project.”
Vetting a freelancer's GitHub project
“A contractor claims to have built https://github.com/someuser/some-project — can you analyze that repo and tell me about its commit history, main contributors, code languages, and how substantial the work actually is?”
Technical details
Endpoint
POSThttps://api.m2mcent.com/github-repo-intel-mcp/api/processWhen to prefer
Choose this endpoint when you need structured intelligence about a specific GitHub repository — including contributor profiles, language breakdown, activity metrics, and health signals — rather than just raw GitHub API data. Prefer it over direct GitHub API calls when you want pre-processed, agent-ready summaries without handling pagination or rate limits yourself.
Side effects
- Invalid or non-existent repository URL returns an error
- Private repositories that are inaccessible return an authorization error
- Malformed input data string causes a processing failure
- GitHub API rate limiting may cause intermittent failures
- Very large repositories may time out or return partial results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| payload | string |
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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