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Sujith29k

MCP RAG Server

by Sujith29k
OverviewSchemaRelated ServersScoreDiscussions
Python
Local

MCP RAG

MCP server that owns the full RAG pipeline, plus a small web client for uploading PDFs and asking questions.

Layout

src/mcp_rag/
  server/     MCP tools: ingest, index, search, ask
  client/     FastAPI UI: upload files, ask questions
data/docs/    PDF corpus (owned by the MCP server)
data/faiss_index/   cached embeddings
PDFs uploaded in the client
        │
        ▼
MCP server (:8001/mcp)
  ingest → chunk → embed → FAISS
  retrieve → generate (OpenAI / LangGraph)
        │  Streamable HTTP
        ▼
Web client (:8000)
  upload / delete / ask

Related MCP server: ragi

Requirements

  • Python 3.10+ (3.12 recommended)

  • uv

  • An OpenAI API key

Setup

uv sync
copy .env.example .env   # or: cp .env.example .env

Put your OpenAI key in .env. Optional sample PDFs:

uv run python scripts/make_sample_pdfs.py

Run

Terminal 1 — MCP server (RAG):

uv run python -m mcp_rag.server

Terminal 2 — web client:

uv run python -m mcp_rag.client

Open http://127.0.0.1:8000. Upload PDFs, then ask questions.

On Windows you can also use scripts\run_server.bat and scripts\run_client.bat.

MCP tools

Tool

Purpose

ingest_document

Add a PDF (base64) and rebuild the index

delete_document

Remove a PDF and rebuild the index

ensure_index

Build or reuse the FAISS index

search_documents

Semantic search over chunks

ask_question

Retrieve + generate a grounded answer

list_documents

List PDFs in the corpus

index_status

Index readiness and chunk count

Client API

Method

Path

Purpose

GET

/api/health

Client + MCP status

GET

/api/documents

List PDFs

POST

/api/upload

Multipart PDF upload

DELETE

/api/documents/{name}

Remove a PDF

POST

/api/reindex?force=true

Rebuild FAISS index

POST

/api/ask

{"question":"..."} → answer + sources

This server cannot be installed

F
license - not found
Not graded
quality - not tested
C
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

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