広告掲載
MCP.so
ログイン

LangChain MCP Chat Platform

@BilalAltundag

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

BilalAltundag

LangChain MCP Chat Platform について

A versatile chat platform that integrates LangChain, custom MCP servers, and various AI models for enhanced chat capabilities.

LangChain MCP Chat Platform の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "langchain-mcp-chat-platform": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

LangChain MCP Chat Platform のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is LangChain MCP Chat Platform?

LangChain MCP Chat Platform is a chat platform that integrates LangChain, custom MCP (Model Control Protocol) servers, and Google's Gemini AI model for enhanced conversational capabilities. It is designed for developers who want to build a multi-service conversational application with web search, email, and accounting integrations.

How to use LangChain MCP Chat Platform?

Clone the repository, create a Python virtual environment, install dependencies from requirements.txt, set up a .env file with your GOOGLE_API_KEY and SMITHERY_KEY, then run the application from the web_js directory with python main.py. Optionally, enable the Gmail API in Google Cloud Console for email features.

Key features of LangChain MCP Chat Platform

  • LangChain integration for advanced conversation management and tool usage
  • Powered by Google Gemini 2.0 Flash model
  • Custom MCP servers: Tavily web search, Gmail, and accounting (muhasebe)
  • Conversation history tracking for contextual responses
  • Responsive web UI built with FastAPI and WebSockets
  • Extensible architecture to add new tools and capabilities

Use cases of LangChain MCP Chat Platform

  • Build a personal assistant that can search the web via Tavily and extract content
  • Automate email operations such as sending, reading, or managing Gmail messages
  • Manage financial records through the integrated accounting system (muhasebe)
  • Create a conversational interface that maintains context across multiple interactions
  • Prototype and test new MCP server integrations with a ready-made web UI

よくある質問

1

What API keys are required?

You need `GOOGLE_API_KEY` for Gemini and `SMITHERY_KEY` to run Gmail and Tavily MCP servers. The `SMITHERY_KEY` alone is sufficient; you do not need separate `TAVILY_API_KEY` or `GMAIL_API_KEY` in this application.

2

What runtime dependencies are needed?

The application requires Python 3 with packages listed in `requirements.txt`, Node.js and NPM (for Tavily/Gmail via Smithery CLI), and a Google Cloud project with the Gmail API enabled if using email features.

3

How do I run only the custom accounting MCP server?

Modify `web_js/main.py` to include only the `custom_mcp` service in `MultiServerMCPClient` and comment out Tavily and Gmail entries. Start the application with `python main.py`.

4

What should I do if the application hangs during startup?

Try starting only with the custom MCP server, install Node.js globally, run `npm install -g @smithery/cli`, or run services manually in separate terminals to identify the cause.

5

Where does conversation data live?

The README does not specify a data storage backend beyond describing database operations in the `app/database/` folder, but no details on persistence location or format are provided.

コメント

「AI とエージェント」の他のコンテンツ

AON — Agent Offer Network

AON

AON MCP connects AI agents to real, buyable products and services with live pricing and tracked links—enabling builders to earn developer revenue share from attributed clicks and conversions.

2
F

fhirHydrant

faulkj

Open-source Node.js FHIR MCP server with SMART Backend Services, metadata-aware search/CRUD tools, compact responses, FHIRPath filtering, safe pagination, audit events, and terminology lookup.

14
L

Legion MCP

faulkj

MCP-native LLM councils for debates, juries, blind panels, voting, refinement, and custom multi-model deliberation.

1

OpenZiti MCP Gateway

openziti

NetFoundry MCP Gateway enables secure, isolated access to Model Context Protocol (MCP) tools across distributed systems without exposing public endpoints. Zero trust gateway for MCP servers. Aggregate, filter, and secure

48

TruVerifAI Panel-review

TruVerifAI

TruVerifAI's Panel Review is the guardian agent for AI's highest-stakes coding decisions: four frontier models argue over an AI coding agent's riskiest designs, diffs, and commits before they execute, with local review g

1
広告掲載