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Titan Frameworks Docs MCP
x402
Titan Frameworks Docs MCP is a paid API for AI agents from titan-frameworks-production.up.railway.app, paid per call via x402, $0.001/call, status unknown (last checked 2026-09-29).
Searches token-efficient documentation chunks for LangChain, LlamaIndex, Ollama, and XRPL frameworks, returning ranked excerpts for syntax lookup, error diagnosis, and API reference via MCP.
Price / call$0.001
Success—
StatusUnknown
How this service works
Paid Streamable HTTP MCP for live LangChain, LlamaIndex, Ollama, and XRPL docs.
Output
Returns a ranked list of documentation hits, each containing a chunk of relevant text, the source URL, document title, heading path, and a relevance score. Also includes the original query echo and total hit count, scoped to the matched framework (e.g. langchain, llamaindex, ollama, xrpl).
Example use cases
Debugging a LangChain runtime error
“I'm getting a 'RunnableSequence' error in my LangChain app — can you search the LangChain docs and find what's causing it and how to fix it?”
Looking up LlamaIndex vector store syntax
“Search the LlamaIndex docs for how to connect a Pinecone vector store to a query engine and show me the relevant code snippet.”
Understanding XRPL payment transaction structure
“Find the XRPL documentation on how to structure a Payment transaction, including required fields and how to set the destination tag.”
Technical details
Endpoint
POSThttps://titan-frameworks-production.up.railway.app/mcp?utm_source=zero.xyzWhen to prefer
Choose this endpoint when your agent needs authoritative, token-efficient documentation excerpts for LangChain, LlamaIndex, Ollama, or XRPL — especially for syntax lookups, error diagnosis, or API reference — without loading entire documentation sites. Prefer this over web search when you want structured, scored results scoped to these specific frameworks.
Side effects
- No matching documentation chunks found for the query — empty hits array returned
- Unknown or unsupported framework name — may return zero results or error
- Overly broad or vague query returns low-relevance chunks with poor scores
- Service unavailable due to Railway.app hosting downtime
- Payment not processed correctly via x402 protocol — request blocked before reaching search
Output
Schema · Response
{
"type": "json",
"example": {
"hits": [
{
"id": "langchain-lcel",
"url": "https://docs.langchain.com",
"chunk": "LangChain Expression Language composes runnables with the pipe operator.",
"score": 1,
"title": "LCEL",
"headingPath": "LCEL"
}
],
"query": "LCEL agent RAG",
"hitCount": 1,
"framework": "langchain"
}
}Tags
x402
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