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KaushalprajapatiKP

Custom MCP Server with RAG & Tools

by KaushalprajapatiKP
OverviewSchemaRelated ServersScoreDiscussions
Python
Remote

Custom MCP Server with RAG & Tools

This project implements a Custom MCP (Multi-tool Control Protocol) server using FastMCP, supporting:

  • Notes Management (Add / Read / Summarize Notes)

  • Weather Search (via WeatherAPI)

  • Brave News Search (via Brave API)

  • Document Ingestion & RAG Queries (via GroundX)

  • OpenAI GPT Integration for Summarization & RAG

Features

  • Append, read, and summarize text notes locally

  • Get real-time weather info

  • Search current news headlines via Brave API

  • Ingest PDFs and perform RAG-based semantic search using GroundX

  • Supports OpenAI GPT (e.g., gpt-4o) for completions

  • Local MCP Inspector for testing/debugging

Related MCP server: Knowledge Base MCP Server

Installation

1. Using uv (Recommended)

uv lock
uv sync

2. Using pip

pip install -r requirements.txt

Environment Variables (.env)

OPENAI_API_KEY=your_openai_api_key
GROUNDX_API_KEY=your_groundx_api_key
WEATHER_API_KEY=your_weatherapi_key
BRAVE_API_KEY=your_brave_api_key
BUCKET_ID=your_groundx_bucket_id

Running the MCP Server

Development Mode (with Inspector UI)

mcp dev main.py

If you get authentication errors, run with:

DANGEROUSLY_OMIT_AUTH=true mcp dev main.py

Development Mode with claude desktop app:

mcp install main.py
mcp run main

Available Tools & Resources

Tool Name

Description

add_note(message)

Append note to local file

read_notes()

Return all stored notes

note_summary_prompt()

Generate a prompt to summarize notes using GPT

brave_search_results(q)

Latest news via Brave Search API

fetch_weather(city)

Real-time weather from WeatherAPI

ingest_documents(path)

Upload PDF to GroundX knowledge base

process_search_query(q)

Perform RAG search with OpenAI GPT completions

search_doc_for_rag_context(q)

Retrieve context text for GPT queries

API Example (via Inspector)

{
  "tool": "fetch_weather",
  "args": {
    "city": "New York"
  }
}

Example Workflow

uv sync
cp .env.example .env  # setup .env file
mcp dev main.py       # start MCP development server

Troubleshooting

Error: Connection Error - Missing Proxy Token

➡️ Solution: Use the URL provided or run:

DANGEROUSLY_OMIT_AUTH=true mcp dev main.py

License

MIT License © 2025 Your Name / Your Organization

Generated with ❤️ using MCP, GroundX, OpenAI.

This server cannot be installed

A
license - permissive license
-
quality - not tested
D
maintenance

How are these scores calculated?

Maintenance

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