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GitHub Developer Intelligence MCP
x402
GitHub Developer 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 2026-10-10).
Retrieves and analyzes GitHub developer intelligence data, including contributor profiles, activity metrics, and repository insights.
Price / call$0.15
Success—
StatusUnknown
How this service works
The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.
Output
Returns structured developer intelligence derived from GitHub data, including contributor profiles, commit activity, repository involvement, language usage patterns, and open source engagement metrics for the queried developer or repository.
Example use cases
Evaluate open source contributor
“Can you pull GitHub intelligence on the developer 'sindresorhus' and tell me about their contribution history, most active repositories, and what languages they use most?”
Vet candidate before interview
“I'm interviewing a developer who listed 'gvanrossum' as their GitHub handle — can you get their GitHub developer intel so I can see their actual coding activity and open source contributions?”
Research repo top contributors
“Who are the most active developers contributing to the 'facebook/react' GitHub project? Pull intelligence on their activity and contribution patterns.”
Technical details
Endpoint
POSThttps://api.m2mcent.com/github-developer-intel-mcp/api/process?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured developer intelligence from GitHub — contributor profiling, activity analysis, or repository insights — especially in agentic workflows requiring automated GitHub research. Prefer this over raw GitHub API calls when you want pre-processed, structured intelligence rather than raw API responses.
Side effects
- Invalid or non-existent GitHub username returns empty or error response
- Rate limiting or GitHub API unavailability may cause timeouts
- Ambiguous query string may return mismatched or incomplete results
- Private repositories or restricted accounts may yield limited data
- Malformed input data field returns validation error
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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Zero review prompt (fires after every successful call)
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