MCP Base

by josharsh

19 stars

226 downloads

Not rated

GitHub

About

Boilerplate using one of the 'better' ways to build MCP Servers. Written using FastMCP

Details

Author: josharsh
GitHub stars: 19
Downloads: 226
Categories: Developer Tools, AI

- Multi‑transport support: STDIO, SSE, HTTP
- Modular tools, prompts, and resources with base classes
- Type‑safe input validation using Pydantic
- Security best practices: directory sandboxing, input validation
- Production‑ready: logging, environment management, Docker support
- Comprehensive documentation for users and contributors

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name MCP Base

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp base": {
            "mcp-server-boilerplate": {
                "command": "python",
                "args": [
                    "main.py",
                    "--transport=stdio"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp base": {
            "mcp-server-boilerplate": {
                "command": "python",
                "args": [
                    "main.py",
                    "--transport=stdio"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp base": {
            "mcp-server-boilerplate": {
                "command": "python",
                "args": [
                    "main.py",
                    "--transport=stdio"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "mcp base": {
            "mcp-server-boilerplate": {
                "command": "python",
                "args": [
                    "main.py",
                    "--transport=stdio"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp base": {
            "mcp-server-boilerplate": {
                "command": "python",
                "args": [
                    "main.py",
                    "--transport=stdio"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp base": {
            "mcp-server-boilerplate": {
                "command": "python",
                "args": [
                    "main.py",
                    "--transport=stdio"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp base": {
            "mcp-server-boilerplate": {
                "command": "python",
                "args": [
                    "main.py",
                    "--transport=stdio"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp base": {
            "mcp-server-boilerplate": {
                "command": "python",
                "args": [
                    "main.py",
                    "--transport=stdio"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp base": {
            "mcp-server-boilerplate": {
                "command": "python",
                "args": [
                    "main.py",
                    "--transport=stdio"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "mcp base": {
            "mcp-server-boilerplate": {
                "command": "python",
                "args": [
                    "main.py",
                    "--transport=stdio"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp base": {
            "mcp-server-boilerplate": {
                "command": "python",
                "args": [
                    "main.py",
                    "--transport=stdio"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp base": {
            "mcp-server-boilerplate": {
                "command": "python",
                "args": [
                    "main.py",
                    "--transport=stdio"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp base": {
            "mcp-server-boilerplate": {
                "command": "python",
                "args": [
                    "main.py",
                    "--transport=stdio"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp base": {
            "mcp-server-boilerplate": {
                "command": "python",
                "args": [
                    "main.py",
                    "--transport=stdio"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp base": {
            "mcp-server-boilerplate": {
                "command": "python",
                "args": [
                    "main.py",
                    "--transport=stdio"
                ]
            }
        }
    }
}

From the repository

Install dependencies with pip install -r requirements.txt, copy .env.example to .env and configure, then run the server using python main.py --transport=stdio (STDIO) or follow transport-specific READMEs for SSE/HTTP.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "mcp base": {
            "mcp-server-boilerplate": {
                "command": "python",
                "args": [
                    "main.py",
                    "--transport=stdio"
                ]
            }
        }
    }
}

McpServers

{
    "mcp-server-boilerplate": {
        "command": "python",
        "args": [
            "main.py",
            "--transport=stdio"
        ]
    }
}

MCP Base

A solid, foundational starting point for MCP projects. MCP Base is a production-ready, extensible template for building Model Context Protocol (MCP) servers in Python. Rapidly create, extend, and deploy MCP servers that expose tools, prompts, and resources to LLMs and agentic clients.

---

🚀 What is This?

This is a Python starter base—not a specific server implementation. It provides a modular, well-documented foundation for building your own MCP servers in Python, supporting multiple transport layers (STDIO, SSE, HTTP, etc.), and demonstrating best practices for security, extensibility, and maintainability.

---

🏗️ Architecture Overview

.
├── src/
│   ├── base/                # Base classes for tools, prompts, resources
│   ├── tools/               # Example tools (filesystem, API, prompt, etc.)
│   ├── resources/           # Example resources (static/dynamic)
│   ├── prompts/             # Example prompts (text generation, summarization)
│   ├── transports/          # Transport layer implementations & docs
│   │   ├── stdio/
│   │   │   └── README.md
│   │   ├── sse/
│   │   │   └── README.md
│   │   └── ...
│   ├── config.py            # Configuration and environment management
│   ├── server.py            # Server instantiation and registration
│   └── main.py              # Entrypoint: selects transport, starts server
├── tests/                   # Example tests for tools/resources
├── Dockerfile               # Containerized deployment
├── requirements.txt / pyproject.toml
├── README.md                # This file
├── CONTRIBUTING.md
└── ...

---

✨ Features

- Multi-Transport Support: STDIO, SSE, HTTP, and more (see /src/transports/)
- Modular Tools/Prompts/Resources: Add new features by creating a class and registering it
- Type-Safe Input Validation: Uses Pydantic for schemas
- Security Best Practices: Directory sandboxing, input validation, error handling
- Extensible & Maintainable: Clean separation of concerns, base classes, and registries
- Production-Ready: Logging, environment management, Docker support
- Comprehensive Documentation: For users and contributors

---

🛠️ Getting Started

1. Install Dependencies

pip install -r requirements.txt

2. Configure Environment

Copy .env.example to .env and fill in required values.

3. Run the Server

STDIO Transport:

python main.py --transport=stdio

SSE/HTTP Transport:
See /src/transports/sse/README.md and /src/transports/http/README.md for details.

---

🧩 Adding Tools, Prompts, and Resources

Tools

- Create a new class in /src/tools/ inheriting from BaseTool
- Implement the required methods and input schema
- Register the tool in the tool registry

Prompts

- Create a new class in /src/prompts/ inheriting from BasePrompt
- Implement the required methods and input schema
- Register the prompt in the prompt registry

Resources

- Add static or dynamic resources in /src/resources/
- Register them in the resource registry

---

🔌 Supported Transports

- STDIO: For CLI and agentic integration (see /src/transports/stdio/README.md)
- SSE: For server-sent events and web clients (see /src/transports/sse/README.md)
- HTTP: For RESTful or web-based integration (see /src/transports/http/README.md)

Each transport is modular and can be extended or replaced.

---

🛡️ Security & Best Practices

- All file and directory operations are sandboxed to allowed paths
- Input validation is enforced for all tool/resource inputs
- Error handling is consistent and user-friendly
- Sensitive configuration is managed via environment variables

---

🧪 Testing

- Example tests are provided in /tests/
- Use Pytest as the test runner
- See CONTRIBUTING.md for test guidelines

---

🤝 Contributing

We welcome contributions! Please see CONTRIBUTING.md for guidelines, code style, and PR process.

---

📚 Further Reading

- Model Context Protocol Documentation
- Official MCP Python SDK
- Reference MCP Servers Gallery
- Transport Layer Docs

---

📝 License

MIT License. See LICENSE for details.

---

💬 Community & Support

- Discord
- Reddit
- GitHub Discussions

---

MCP Base is the recommended starting point for all new Python MCP server projects. Fork, extend, and contribute improvements!

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About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

MCP Base

🚀 What is This?

🏗️ Architecture Overview

✨ Features

🛠️ Getting Started

1. Install Dependencies

2. Configure Environment

3. Run the Server

🧩 Adding Tools, Prompts, and Resources

Tools

Prompts

Resources

🔌 Supported Transports

🛡️ Security & Best Practices

🧪 Testing

🤝 Contributing

📚 Further Reading

📝 License

💬 Community & Support

Install

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