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GitHub Repository Security & License Risk Auditor
GitHub Repository Security & License Risk Auditor is a paid API for AI agents from mcp-compiler.agentdiet.dev, paid per call via MPP, $0.01/call, status unknown (last checked 2026-10-21).
Evaluates a GitHub repository for license risk, maintenance velocity, stars/forks, and supply-chain security before integrating or executing its code
Price / call$0.01
Success—
StatusUnknown
How this service works
Evaluates any GitHub repository for license risk, maintenance velocity, stars/forks, and supply-chain security before code execution. (Live x402 v2, IETF MPP & MCP endpoint at https://mcp-compiler.agentdiet.dev/v1/repo-risk-score)
Output
Returns a structured risk assessment for the specified GitHub repository, including license risk classification, maintenance velocity indicators, community signals (stars, forks), and supply-chain security evaluation, resulting in an overall risk score the agent can use to decide whether to proceed with integration.
Example use cases
Vetting a new open source dependency
“Before I add huggingface/transformers to my project, can you audit that GitHub repo and tell me if the license is compatible with commercial use and whether the supply chain looks clean?”
Pre-execution repo safety check for coding agent
“I'm about to have my coding agent pull in code from openai/openai-python — can you evaluate that repo for security risk, maintenance velocity, and any license issues first?”
Comparing trust of two competing libraries
“Can you audit both encode/httpx and psf/requests on GitHub and give me a risk score for each so I can decide which one is safer to depend on long-term?”
Technical details
Endpoint
GEThttps://mcp-compiler.agentdiet.dev/v1/repo-risk-score?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI coding agent needs to vet a GitHub repository before integrating or executing its code — particularly for license compatibility checks, supply-chain security validation, and maintenance health. It is purpose-built for pre-dependency due diligence workflows and covers multiple risk dimensions in a single call, making it more efficient than querying GitHub's raw API and interpreting results manually.
Side effects
- Invalid or non-existent repository slug returns an error or empty result
- Private repositories that GitHub API cannot access may return incomplete data
- Rate limiting from GitHub API may cause delays or partial responses
- Repos with no license file may yield indeterminate license risk
- Payment failure (x402) blocks the request before analysis begins
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| reporequired | string | GitHub repository in owner/name format (e.g. modelcontextprotocol/servers or langchain-ai/langgraph) |
Output
Schema · Response
{
"type": "object"
}Reviews
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Zero review prompt (fires after every successful call)
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