MCP-tool-client-and-server

Rohitw3code/MCP-tool-client-and-server

3.1

If you are the rightful owner of MCP-tool-client-and-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to dayong@mcphub.com.

This project implements a simplified Model Context Protocol (MCP) server with integration of LangGraph and OpenAI GPT-4o-mini.

Tools
2
Resources
0
Prompts
0

MCP Tool Client and Server

A simplified Model Context Protocol (MCP) implementation with LangGraph integration and OpenAI GPT-4o-mini.

Project Structure

.
├── fastmcp_http_server.py  # MCP server with Twitter tools (port 8002)
├── slack_mcp_server.py     # MCP server with Slack tools (port 8003)
├── client.py               # LangGraph client with OpenAI integration
├── mcp_client.py          # Simple MCP client with interactive mode
└── .env                   # Environment variables (not tracked)

Setup

  1. Install dependencies:
pip install fastmcp langchain-openai langgraph python-dotenv openai mcp
  1. Configure environment variables: Create a .env file:
OPENAI_API_KEY=your-api-key-here

Usage

1. Start the MCP Servers

Twitter MCP Server:

python3 fastmcp_http_server.py

Server will run on http://0.0.0.0:8002/sse

Slack MCP Server:

python3 slack_mcp_server.py

Server will run on http://0.0.0.0:8003/sse

2. Run the LangGraph Client

python3 client.py

Executes predefined queries using LangGraph workflow.

3. Run the Interactive MCP Client

python3 mcp_client.py

Interactive mode - ask questions in natural language.

Or single query mode:

python3 mcp_client.py "Get my latest emails"

Available Tools

Twitter MCP Server (Port 8002)

  • send_tweet: Send a tweet

    • Parameters: text

  • get_comments: Get comments/replies on a tweet

    • Parameters: tweet_id, max_results

  • get_profile_data: Get Twitter profile data

  • get_posts: Get recent tweets/posts from timeline

    • Parameters: max_results

Slack MCP Server (Port 8003)

  • send_message: Send a message to a Slack channel

    • Parameters: channel, text, thread_ts (optional)

  • get_channel_messages: Get recent messages from a channel

    • Parameters: channel, limit

  • get_thread_replies: Get replies to a thread

    • Parameters: channel, thread_ts, limit

  • list_channels: List all available Slack channels

  • get_user_profile: Get Slack user profile information

    • Parameters: user_id (optional)

  • search_messages: Search for messages across channels

    • Parameters: query, count

  • add_reaction: Add a reaction emoji to a message

    • Parameters: channel, timestamp, reaction

  • get_workspace_info: Get information about the Slack workspace

Architecture

  • Server: FastMCP HTTP server with SSE transport
  • Client: LangGraph workflow with OpenAI GPT-4o-mini
  • Tools: Automatically converted from MCP to LangChain format