How do I use MCP RAG Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP RAG Server What is the conclusion of the annual report?" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

MCP RAG Server

by Sujith29k

Overview Schema Related Servers Score Discussions

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

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

No tool schema history has been recorded yet.

This server cannot be installed

RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

Maintenance

ActivityMaintained

ResponsivenessNo issues

Resources

GitHub Repository

Need Help?

Related Servers

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Connectors

forkast-mcp-docs A
io.github.ForkastPredict
MCP server for querying Forkast documentation
Documentation Access Search Developer Tools
42
mcp A
ai.llmse
Public MCP server for the LLM Search Engine
Search RAG Systems Developer Tools
102
docbaseOAuth
io.github.krayinc
DocBase MCP server for AI agents
Documentation Access Search Developer Tools
2
Artificial Wit AIOAuth
com.artificialwit
MCP server unifying ERPs, CRMs, APIs and knowledge base for Claude, ChatGPT and Gemini.
ERP Systems CRM Knowledge & Memory
2

Related MCP Servers

qdrant-mcp
RAG Systems Vector Databases
msstnk
A
license
Not graded
quality
D
maintenance
MCP server for document ingestion and semantic search on Qdrant. Enables ingesting local documents, generating embeddings with OpenAI, and performing vector search with metadata filters.
Updated 4 months ago (2026-04-26 01:16 UTC)
Apache 2.0
ragi
RAG Systems Search
SusuTawar
A
license
A
quality
D
maintenance
Local-first RAG indexing and semantic search MCP server. Enables document retrieval and context-aware queries using local embedding models.
Updated 24 days ago (2026-08-13 16:07 UTC)
3
16
MIT
pdf-knowledge-mcp
RAG Systems Search Knowledge & Memory
tycket033-tech
F
license
A
quality
D
maintenance
A local RAG MCP server for PDF development experience, enabling document ingestion, semantic search, and Q\&A with source citations using TF-IDF and cosine similarity.
Updated 3 months ago (2026-06-12 18:46 UTC)
3
-
MyDocsMCP
RAG Systems Vector Databases File Systems
Edwardmaster7
F
license
A
quality
D
maintenance
MCP server that enables semantic search over local PDF collections using local RAG, with automatic indexing of new documents.
Updated 5 months ago (2026-03-27 12:47 UTC)
5
-

Latest Blog Posts

Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)
By Om-Shree-0709 on July 25, 2026.
mcp
Agent Identity
OAuth 2.1
Your AI Chatbot Just Exposed Your CEO's Salary to an Intern
By Om-Shree-0709 on July 2, 2026.
Agent Identity
MCP Security
OAuth Delegation
Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)
By Om-Shree-0709 on June 30, 2026.
Agentic Ai
Prompt Injection
WebAssembly

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Sujith29k/MCP-RAG'

If you have feedback or need assistance with the MCP directory API, please join our Discord server