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repo-to-rag-mcp
x402
repo-to-rag-mcp is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-15).
Converts a code repository into a RAG-ready (Retrieval-Augmented Generation) knowledge base via an MCP-compatible endpoint
Price / call$0.25
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 a processed, structured representation of the repository suitable for ingestion into a RAG pipeline — typically chunked text segments, code blocks, or indexed documents ready for embedding and vector store loading.
Example use cases
Index open-source library for AI queries
“I want to make the contents of this open-source Python library queryable by my AI agent — process this repo data into a RAG-ready format so the agent can answer questions about the codebase.”
Prepare internal codebase for developer assistant
“Take our internal monorepo source and convert it into a retrieval-ready corpus so our coding assistant can answer questions about how our services are structured.”
Build searchable docs from repo for support bot
“I have a GitHub repo with documentation and code — can you process this repository data into chunked, RAG-ready documents so our support bot can look up implementation details?”
Technical details
Endpoint
POSThttps://api.m2mcent.com/repo-to-rag-mcp/api/processWhen to prefer
Choose this endpoint when you need to convert raw repository or source code content into a RAG-compatible format for LLM retrieval, especially in agentic workflows where paying per-call via x402 is acceptable and you need an MCP-compatible output. Prefer this over manual chunking pipelines when you want a single-step, hosted transformation without managing embedding infrastructure yourself.
Side effects
- Empty or malformed 'data' field returns a 400-level error
- Repository data too large for single request may time out or be truncated
- Non-text binary content in repo may be skipped or cause parsing errors
- Payment failure (x402) results in 402 Payment Required before processing begins
- Malformed repo structure may produce low-quality or incomplete RAG chunks
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| payload | string |
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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