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데이터분석 LangGraph Agent (w. Model Context Protocol)

데이터분석 LangGraph Agent (w. Model Context Protocol)

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github.com/gongwon-nayeonAI & Agents14Updated 79w ago
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About 데이터분석 LangGraph Agent (w. Model Context Protocol)

A Python data-analysis agent project that brings statistics, visualization, and modeling into LangGraph. It connects analysis capabilities through an MCP server and client using langchain-mcp-adapters.

Key features

  1. 01Data statistics
  2. 02Visualize data distributions
  3. 03Train prediction models from features
  4. 04Integrate LangGraph agents with MCP

Use cases

  1. 01Summarize a CSV column
  2. 02Inspect a column's distribution
  3. 03Train a classifier from selected features

MCP support

The project includes a Python MCP server and client, using langchain-mcp-adapters to connect data-analysis capabilities to a LangGraph agent.

#langgraph#data-analysis#mcp

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

데이터분석 LangGraph Agent (w. Model Context Protocol)

alt text

데이터 통계, 시각화, 모델링을 진행하는 Agent를 구현하기 위해 파이썬 기반의 MCP 서버 및 클라이언트를 구축하고, langchain-mcp-adapters 을 사용하여 Langgraph Agent와 연동하는 프로젝트

Installation & Getting Started

pip install langchain-mcp-adapters
python data_server.py
python data_client.py

🧑‍💻 User Input Examples

  • iris_data.csv 파일의 petal length 컬럼의 통계를 내주세요.
  • iris_data.csv 파일의 sepal length 컬럼의 분포를 시각화해주세요.
  • iris_data.csv 데이터에서 sepal length,sepal width 를 피쳐로 사용해서 class_name 를 예측하는 모델을 학습하고 결과를 알려주세요.

Reference

✅ https://github.com/modelcontextprotocol/python-sdk

✅ https://github.com/langchain-ai/langchain-mcp-adapters

📍 본 프로젝트는 패스트캠퍼스 🚀 실전 AI Agent의 모든 것 : 34개 프로젝트로 MCP부터 GraphRAG Agent까지 (by.공원나연) 강의 중 LangGraph MCP Adapters - 데이터 분석 Agent🗒️ 에 해당하는 내용입니다.

👉 https://fastcampus.co.kr/data_online_graphrag

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.