MCP AI Research Assistant

MCP AI Research Assistant

An offline MCP server that enables research tasks such as summarizing text, extracting key points, and saving/retrieving notes via a CLI client and stdio transport.

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README

MCP AI Research Assistant (Offline)

šŸ“Œ Overview

An offline AI Research Assistant built using the Model Context Protocol (MCP). The system uses a FastMCP server exposing structured tools and a custom client orchestrator communicating via stdio transport.

This project demonstrates end-to-end MCP integration without external APIs.

šŸš€ Features:

Summarize research text Extract key points Save research notes locally Retrieve saved notes Fully offline stdio-based MCP transport Structured tool invocation

šŸ— Architecture

  User CLI

      ā†“

  MCP Client

      ā†“ (stdio transport)

  FastMCP Server

      ā†“

  Tool Execution Layer

      ā†“

  notes.json

šŸ›  Tech Stack:

Python 3.13

Model Context Protocol (MCP) v1.26.0

FastMCP

AsyncIO

ā–¶ļø How To Run:

  1. Clone repository: git clone https://github.com/paneri11/mcp-ai-research-assistant.git

    cd mcp-ai-research-assistant

  2. Create virtual environment: python -m venv venv

    venv\Scripts\activate # Windows

  3. Install dependencies: pip install -r requirements.txt

  4. Run: python client/client.py

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