https://github.com/gunbun33/mcp-servers
Production-ready Model Context Protocol (MCP) servers in Python, Go, and Rust for VS Code integration. Enables AI systems to interact with tools via standardized interfaces.
https://github.com/gunbun33/mcp-servers
ai-agent-tools ai-agents ai-agents-framework anthropic-claude awesome github llm mcp-client mcp-clients mcp-servers mcp-tools no-code-automation typescript whatsapp-api
Last synced: 29 days ago
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Production-ready Model Context Protocol (MCP) servers in Python, Go, and Rust for VS Code integration. Enables AI systems to interact with tools via standardized interfaces.
- Host: GitHub
- URL: https://github.com/gunbun33/mcp-servers
- Owner: gunbun33
- License: mit
- Created: 2025-04-27T17:49:16.000Z (5 months ago)
- Default Branch: master
- Last Pushed: 2025-09-06T11:52:43.000Z (about 1 month ago)
- Last Synced: 2025-09-06T13:28:03.044Z (about 1 month ago)
- Topics: ai-agent-tools, ai-agents, ai-agents-framework, anthropic-claude, awesome, github, llm, mcp-client, mcp-clients, mcp-servers, mcp-tools, no-code-automation, typescript, whatsapp-api
- Language: Go
- Size: 45.9 KB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-mcp-servers - **mcp-servers** - Production-ready Model Context Protocol (MCP) servers in Python, Go, and Rust for VS Code integration. Enables AI systems to interact with tools via standardized interfaces. `go` `ai-agent-tools` `ai-agents` `ai-agents-framework` `anthropic-claude` `go install gunbun33/mcp-servers@latest` (AI/ML)
- awesome-mcp-servers - **mcp-servers** - Production-ready Model Context Protocol (MCP) servers in Python, Go, and Rust for VS Code integration. Enables AI systems to interact with tools via standardized interfaces. `go` `ai-agent-tools` `ai-agents` `ai-agents-framework` `anthropic-claude` `go install gunbun33/mcp-servers@latest` (AI/ML)
README
# 🌟 MCP Servers: Production-Ready Model Context Protocol Servers
[](https://github.com/gunbun33/mcp-servers/releases)
Welcome to the **MCP Servers** repository! This project provides production-ready Model Context Protocol (MCP) servers built in Python, Go, and Rust. These servers are designed for seamless integration with Visual Studio Code, allowing AI systems to interact with various tools through standardized interfaces.
## 🚀 Features
- **Multi-Language Support**: Choose between Python, Go, or Rust based on your project needs.
- **Integration with VS Code**: Enhance your development workflow with easy integration.
- **Standardized Interfaces**: Facilitate smooth interactions between AI systems and tools.
- **Production-Ready**: Built with performance and reliability in mind.
## 📦 Getting Started
To get started with MCP Servers, you can download the latest release from our [Releases page](https://github.com/gunbun33/mcp-servers/releases). Follow the instructions provided in the release notes to set up and run the server in your environment.
### Installation
1. **Clone the Repository**:
```bash
git clone https://github.com/gunbun33/mcp-servers.git
cd mcp-servers
```
2. **Choose Your Language**:
Select the language you prefer (Python, Go, or Rust) and follow the specific setup instructions in the corresponding directory.
3. **Run the Server**:
Each language has its own method for running the server. Refer to the documentation in each folder for detailed instructions.
### Example Usage
Here’s a quick example of how to run the Python server:
```bash
cd python-server
python main.py
```
For Go and Rust, follow similar steps in their respective directories.
## 🌐 Documentation
### Overview of Model Context Protocol (MCP)
The Model Context Protocol (MCP) is designed to standardize interactions between AI systems and tools. It simplifies the process of integrating various functionalities, allowing developers to focus on building features rather than dealing with complex interfaces.
### Components
- **Server**: The core component that listens for requests and processes them according to the MCP specifications.
- **Client**: A tool or application that sends requests to the server and receives responses.
### Workflow
1. **Initialization**: Start the server and set it up to listen for incoming requests.
2. **Request Handling**: The server processes requests based on the defined MCP structure.
3. **Response Generation**: The server sends back standardized responses to the client.
## 🛠️ Technologies Used
- **Python**: A versatile language known for its simplicity and readability.
- **Go**: A statically typed language that is efficient and easy to deploy.
- **Rust**: A systems programming language that emphasizes safety and performance.
- **FastAPI**: A modern web framework for building APIs with Python.
- **Terraform**: Infrastructure as code tool to manage cloud services.
## 📊 Topics
This repository covers a variety of topics, including:
- AI Tools
- Developer Tools
- FastAPI
- Golang
- MCP Protocol
- Model Context Protocol
- Python
- Rust
- Terraform
- VS Code Integration
## 📈 Contributing
We welcome contributions from the community! If you’d like to contribute, please follow these steps:
1. **Fork the Repository**: Create your own copy of the repository.
2. **Create a Branch**: Use a descriptive name for your branch.
```bash
git checkout -b feature/your-feature-name
```
3. **Make Your Changes**: Implement your feature or fix.
4. **Commit Your Changes**: Write a clear commit message.
```bash
git commit -m "Add your message here"
```
5. **Push to Your Branch**:
```bash
git push origin feature/your-feature-name
```
6. **Create a Pull Request**: Submit your changes for review.
## 🤝 Support
If you encounter any issues or have questions, feel free to open an issue on GitHub. We appreciate your feedback and are here to help.
## 🔗 Links
- [Releases](https://github.com/gunbun33/mcp-servers/releases)
- [Documentation](https://github.com/gunbun33/mcp-servers/wiki)
- [Contributing Guidelines](https://github.com/gunbun33/mcp-servers/blob/main/CONTRIBUTING.md)
## 📜 License
This project is licensed under the MIT License. See the [LICENSE](https://github.com/gunbun33/mcp-servers/blob/main/LICENSE) file for details.
## 📷 Acknowledgments
We would like to thank all contributors and the open-source community for their support. Your contributions make this project possible.
## 🌟 Conclusion
The MCP Servers repository offers a robust solution for integrating AI systems with tools through standardized interfaces. We invite you to explore, contribute, and enhance your development experience with our production-ready servers.
For the latest releases, visit our [Releases page](https://github.com/gunbun33/mcp-servers/releases) to download and execute the necessary files. Happy coding!