Which integrations are available for this server?

Search latest news headlines via Brave Search API Provides GPT-based summarization and RAG completions

How do I use Custom MCP Server with RAG & Tools?

1. Click on "Deploy 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., "@Custom MCP Server with RAG & Tools what's the weather in Paris?" 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.

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: MCP Weather Notes 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

Generated with ❤️ using MCP, GroundX, OpenAI.

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityInactive

ResponsivenessNo issues

Resources

GitHub Repository

Need Help?

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