MCP-integration

Resume Matching Agent using MCP + LangGraph

Overview

This project implements a Resume Matching Agent using the Model Context Protocol (MCP). The agent communicates with an MCP-compliant File System Server through a JSON-RPC 2.0 interface instead of directly accessing the filesystem.

The project also uses LangGraph for workflow orchestration and Sentence Transformers for semantic resume matching.

Related MCP server: LinkedIn Model Context Protocol (MCP) Server

Features

• JSON-RPC 2.0 compliant MCP Server

• MCP Client

• Resource Discovery

• Batch Resume Processing

• Directory Monitoring

• Resume Ranking using Semantic Search

• LangGraph Workflow

• Error Handling

Technologies

• Python

• LangGraph

• Sentence Transformers

• PyMuPDF

• Watchdog

• JSON RPC 2.0

Project Structure

MCP-Integration/
│
├── resumes/
├── filesystem_mcp_server.py
├── mcp_client.py
├── matching_agent.py
├── rag_search.py
├── app.py
├── tools.py
├── requirements.txt
└── README.md

Run

pip install -r requirements.txt

python app.py

Workflow

User

↓

LangGraph Agent

↓

MCP Client

↓

Filesystem MCP Server

↓

Resume Folder

Author

U Lakshmi Priya