https://github.com/AnalyticAce/MyDevMCP
A collection of Model Context Protocol (MCP) servers providing various integrations and capabilities for MCP-compatible clients like Claude Desktop, VS Code, and other AI applications.
https://github.com/AnalyticAce/MyDevMCP
claude-desktop mcp-server model-context-protocol vscode
Last synced: about 1 month ago
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A collection of Model Context Protocol (MCP) servers providing various integrations and capabilities for MCP-compatible clients like Claude Desktop, VS Code, and other AI applications.
- Host: GitHub
- URL: https://github.com/AnalyticAce/MyDevMCP
- Owner: AnalyticAce
- License: mit
- Created: 2025-05-25T18:53:20.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2025-05-31T00:59:25.000Z (4 months ago)
- Last Synced: 2025-06-10T04:09:13.962Z (4 months ago)
- Topics: claude-desktop, mcp-server, model-context-protocol, vscode
- Language: Python
- Homepage:
- Size: 33.2 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-mcp-servers - **MyDevMCP** - A collection of Model Context Protocol (MCP) servers providing various integrations and capabilities for MCP-compatible clients like Claude Desktop, VS Code, and other AI applications. `python` `claude-desktop` `mcp-server` `model-context-protocol` `vscode` `pip install git+https://github.com/AnalyticAce/MyMCP` (AI/ML)
- awesome-mcp-servers - **MyDevMCP** - A collection of Model Context Protocol (MCP) servers providing various integrations and capabilities for MCP-compatible clients like Claude Desktop, VS Code, and other AI applications. `python` `claude-desktop` `mcp-server` `model-context-protocol` `vscode` `pip install git+https://github.com/AnalyticAce/MyMCP` (AI/ML)
README
# MyMCP
A collection of Model Context Protocol (MCP) servers providing various integrations and capabilities for MCP-compatible clients like Claude Desktop, VS Code, and other AI applications.
## Overview
This repository contains multiple MCP servers, each designed to extend the capabilities of AI assistants through the Model Context Protocol. Each server is independently deployable and provides specific functionality through a standardized interface.
## Available Servers
### 🪝 [mcp-server-webhooker](./mcp-server-webhooker/)
A webhook integration server that enables sending messages to various webhook services.
**Features:**
- Discord webhook integration
- Google Chat webhook integration
- Robust error handling
- Built with FastMCP framework
**Tools:**
- `send_discord_message` - Send messages to Discord channels
- `send_google_chat_message` - Send messages to Google Chat spaces
### 🔍 [mcp-server-websearch](./mcp-server-websearch/)
A web search server that provides internet search capabilities using OpenAI's web search functionality.
**Features:**
- Web search using OpenAI API
- Environment-based configuration
- FastMCP framework integration
**Tools:**
- `web_search` - Perform web searches and return results
## Prerequisites
- Python 3.13 or higher
- [uv](https://docs.astral.sh/uv/) package manager (recommended)
- OpenAI API key (for websearch server)
## Quick Start
### 1. Clone the Repository
```bash
git clone https://github.com/yourusername/MyMCP.git
cd MyMCP
```
### 2. Choose a Server
Navigate to the specific server directory you want to use:
```bash
# For webhook functionality
cd mcp-server-webhooker
# For web search functionality
cd mcp-server-websearch
```
### 3. Install Dependencies
Using uv (recommended):
```bash
uv sync
```
### 4. Configure (if needed)
For the websearch server, create a `.env` file:
```bash
echo "OPENAI_API_KEY=your_openai_api_key_here" > .env
```
### 5. Run the Server
```bash
uv run main.py
```
## Usage with MCP Clients
### Claude Desktop
Add the server configuration to your Claude Desktop MCP settings:
```json
{
"mcpServers": {
"webhooker": {
"command": "uv",
"args": ["run", "/path/to/MyMCP/mcp-server-webhooker/main.py"],
"cwd": "/path/to/MyMCP/mcp-server-webhooker"
},
"websearch": {
"command": "uv",
"args": ["run", "/path/to/MyMCP/mcp-server-websearch/main.py"],
"cwd": "/path/to/MyMCP/mcp-server-websearch",
"env": {
"OPENAI_API_KEY": "your_openai_api_key_here"
}
}
}
}
```
### VS Code with MCP Extension
Configure the servers in your VS Code MCP extension settings, pointing to the respective server directories and main.py files.
## Development
Each server is built using the [FastMCP](https://fastmcp.dev/) framework, which provides:
- Easy tool registration with decorators
- Automatic schema generation
- Built-in error handling
- Standard MCP protocol compliance
### Adding New Servers
1. Create a new directory following the naming convention `mcp-server-{name}`
2. Initialize with a `pyproject.toml` and `main.py`
3. Use FastMCP to build your server
4. Add documentation in a `README.md`
5. Update this main README with your server information
## Contributing
1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests if applicable
5. Submit a pull request
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Related Resources
- [Model Context Protocol Documentation](https://modelcontextprotocol.io/)
- [FastMCP Framework](https://fastmcp.dev/)
- [Claude Desktop MCP Guide](https://docs.anthropic.com/claude/docs/mcp)
## Support
For issues and questions:
- Open an issue in this repository
- Check individual server README files for specific documentation
- Refer to the MCP community resources