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Archana-M-11

MCP_Based_AI_Assistant

by Archana-M-11

MCP_Based_AI_Assistant

An AI assistant built using Model Context Protocol (MCP) and LangGraph. The assistant can understand user queries, determine whether a tool is required, and invoke the appropriate MCP tool through an MCP client.

  • MCP server with multiple tools

  • MCP client for connecting to the MCP server

  • MCP tool discovery

  • LangGraph-based stateful agent workflow

  • LLM-based tool selection

  • Conditional tool execution

  • Human-in-the-Loop approval for sensitive tools

  • Document search

  • Employee information lookup

  • Mathematical expression calculation

  • LLM-based final response generation

  • Test cases for validating different queries and tool workflows

Architecture

Architecture Diagram

Related MCP server: Enterprise Architecture MCP Server

Installation

1. Clone the repository

git clone <your-repository-url>
cd MCP_Based_AI_Assistant

2. Create a virtual environment

uv venv

3. Activate the virtual environment

Windows PowerShell

.venv\Scripts\Activate.ps1

4. Install dependencies

uv sync

5. Configure environment variables

Create a .env file in the project root directory:

GEMINI_API_KEY=your_gemini_api_key

6. Run the test cases

uv run python -m tests.test

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.

Maintenance

ActivityMaintained
ResponsivenessNo issues

Resources

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