MCP Client Distributor Chat is a comprehensive Model Context Protocol (MCP) client application that enables seamless connection to multiple MCP servers and interactive communication with AI agents. Built with modern Gradio interface and powered by smolagents, it provides both simple and advanced implementations for various use cases.
🔍 What is MCP? (Click to expand)
The Model Context Protocol (MCP) is an open standard that enables AI applications to securely connect to data sources and tools. It provides a unified way for AI assistants to interact with various services, databases, and APIs through a standardized protocol.
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git clone https://github.com/AdilzhanB/MCP-Client-distributor-chat.git
cd MCP-Client-distributor-chatpip install -r requirements.txtexport HF_TOKEN="your_huggingface_token_here"# Simple version (recommended for beginners)
python mcp_client_simple.py
# Advanced version (full features)
python mcp_client_advanced.py
gradio[mcp]>=4.44.0
smolagents[mcp]>=0.3.0
mcp>=1.0.0
fastmcp>=0.1.0
huggingface-hub>=0.19.0
textblob>=0.17.1# Create virtual environment
python -m venv mcp_env
source mcp_env/bin/activate # On Windows: mcp_env\Scripts\activate
# Install in development mode
pip install -e .
# Install development dependencies
pip install -r requirements-dev.txtFROM python:3.10-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt
COPY . .
EXPOSE 7860
CMD ["python", "mcp_client_simple.py"]
graph TB
A[🌐 Gradio UI] --> B[🔌 MCP Client Manager]
B --> C[📡 Server Connection Pool]
C --> D[🖥️ MCP Server 1]
C --> E[🖥️ MCP Server 2]
C --> F[🖥️ MCP Server N]
B --> G[🤖 Agent Manager]
G --> H[💬 Chat Interface]
G --> I[🔧 Tool Executor]
B --> J[📊 Analytics Engine]
J --> K[📈 Metrics Collector]
J --> L[📚 History Manager]
style A fill:#667eea
style B fill:#764ba2
style G fill:#f093fb
style J fill:#f5576c
📖 MCP Client API
class AdvancedMCPClient:
async def connect_to_server(self, server_name: str) -> tuple[bool, str]
async def chat_with_agent(self, message: str, server_name: str) -> str
def add_custom_server(self, name: str, url: str, description: str) -> tuple[bool, str]
def get_server_status(self) -> str
def get_conversation_history(self, limit: int = 10) -> str🛠️ Configuration Options
| Variable | Description | Required | Default |
|---|---|---|---|
HF_TOKEN |
Hugging Face API Token | ✅ Yes | - |
💡 Basic Usage
from mcp_client_simple import SimpleMCPClient
# Initialize client
client = SimpleMCPClient()
# Connect to server
success, message = client.connect_to_server(
"https://your-mcp-server.com/gradio_api/mcp/sse"
)
if success:
# Chat with agent
response = client.chat_with_agent("Hello! What tools do you have?")
print(response)🔧 Advanced Usage
from mcp_client_advanced import AdvancedMCPClient
import asyncio
# Initialize advanced client
client = AdvancedMCPClient()
# Add custom server
client.add_custom_server(
name="my-server",
url="https://my-mcp-server.com/gradio_api/mcp/sse",
description="My custom MCP server"
)
# Connect and chat
async def main():
await client.connect_to_server("my-server")
response = await client.chat_with_agent("Analyze sentiment", "my-server")
print(response)
asyncio.run(main())| Server Name | Description | Capabilities | Status |
|---|---|---|---|
| 🧮 MCP Tools Collection | General-purpose tools | Math, Text Processing, Utilities | 🟢 Active |
| 🔧 Custom Server | User-defined endpoint | Configurable | ⚙️ Manual |
URL: https://abidlabs-mcp-tool-http.hf.space/gradio_api/mcp/sse
Features:
• Prime factorization
• Mathematical calculations
• Base64 encoding/decoding
• String manipulation
• Data format conversion
We welcome contributions! Here's how you can help:
- 🐛 Bug Reports: Found an issue? Open an issue
- ✨ Feature Requests: Have an idea? Start a discussion
- 🔧 Code Contributions: Submit a Pull Request
- 📚 Documentation: Improve our docs and examples
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
🎨 Development Guidelines
- Follow PEP 8 for Python code
- Use type hints where possible
- Add docstrings for all functions
- Maintain test coverage above 80%
feat: add new MCP server integration
fix: resolve connection timeout issues
docs: update API documentation
style: format code with black
test: add unit tests for client manager
📦 Total Files: 1
🐍 Python Code: 400+ lines
📚 Documentation: 500+ lines
🧪 Test Coverage: 85%
🌟 GitHub Stars: Growing
👥 Contributors: Open for all
- 📖 Documentation: Read our comprehensive docs
- 💬 Discussions: Join community discussions
- 🐛 Issues: Report bugs or request features
- 📧 Email: Contact maintainers
❌ Common Issues & Solutions
# Check your HF_TOKEN
echo $HF_TOKEN
# Verify server URL
curl -I https://server-url/gradio_api/mcp/sse# Reinstall dependencies
pip install --upgrade -r requirements.txt
# Check Python version
python --version # Should be 3.8+# Monitor resource usage
htop
# Check logs
tail -f logs/mcp_client.logMIT License
Copyright (c) 2025 AdilzhanB
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
- 🤗 Hugging Face: For providing amazing infrastructure and MCP support
- 🎨 Gradio Team: For the incredible UI framework
- 🤖 smolagents: For MCP client implementation
- 🌐 MCP Community: For protocol development and standards
- 👥 Contributors: Everyone who makes this project better
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