Content
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<span style="font-size: 80px;">⛳ Golf</span>
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Easiest framework for building MCP servers
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<p>
<a href="https://opensource.org/licenses/Apache-2.0"><img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg" alt="License"></a>
<a href="https://github.com/golf-mcp/golf/pulls"><img src="https://img.shields.io/badge/PRs-welcome-brightgreen.svg" alt="PRs"></a>
<a href="https://github.com/golf-mcp/golf/issues"><img src="https://img.shields.io/badge/support-contact%20author-purple.svg" alt="Support"></a>
</p>
<p>
<a href="https://docs.golf.dev"><strong>📚 Documentation</strong></a>
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## Overview
Golf is a **framework** designed to streamline the creation of MCP server applications. It allows developers to define server's capabilities—*tools*, *prompts*, and *resources*—as simple Python files within a conventional directory structure. Golf then automatically discovers, parses, and compiles these components into a runnable MCP server, minimizing boilerplate and accelerating development.
With Golf v0.2.0, you get **enterprise-grade authentication** (JWT, OAuth Server, API key, development tokens), **built-in utilities** for LLM interactions, and **automatic telemetry** integration. Focus on implementing your agent's logic while Golf handles authentication, monitoring, and server infrastructure.
## Quick Start
Get your Golf project up and running in a few simple steps:
### 1. Install Golf
Ensure you have Python (3.10+ recommended) installed. Then, install Golf using pip:
```bash
pip install golf-mcp
```
### 2. Initialize Your Project
Use the Golf CLI to scaffold a new project:
```bash
golf init your-project-name
```
This command creates a new directory (`your-project-name`) with a basic project structure, including example tools, resources, and a `golf.json` configuration file.
### 3. Run the Development Server
Navigate into your new project directory and start the development server:
```bash
cd your-project-name
golf build dev
golf run
```
This will start the MCP server, typically on `http://localhost:3000` (configurable in `golf.json`).
That's it! Your Golf server is running and ready for integration.
## Basic Project Structure
A Golf project initialized with `golf init` will have a structure similar to this:
```
<your-project-name>/
│
├─ golf.json # Main project configuration
│
├─ tools/ # Directory for tool implementations
│ └─ hello.py # Example tool
│
├─ resources/ # Directory for resource implementations
│ └─ info.py # Example resource
│
├─ prompts/ # Directory for prompt templates
│ └─ welcome.py # Example prompt
│
├─ .env # Environment variables (e.g., API keys, server port)
└─ auth.py # Authentication configuration (JWT, OAuth Server, API key, dev tokens)
```
- **`golf.json`**: Configures server name, port, transport, telemetry, and other build settings.
- **`auth.py`**: Dedicated authentication configuration file (new in v0.2.0, breaking change from v0.1.x authentication API) for JWT, OAuth Server, API key, or development authentication.
- **`tools/`**, **`resources/`**, **`prompts/`**: Contain your Python files, each defining a single component. These directories can also contain nested subdirectories to further organize your components (e.g., `tools/payments/charge.py`). The module docstring of each file serves as the component's description.
- Component IDs are automatically derived from their file path. For example, `tools/hello.py` becomes `hello`, and a nested file like `tools/payments/submit.py` would become `submit_payments` (filename, followed by reversed parent directories under the main category, joined by underscores).
## Example: Defining a Tool
Creating a new tool is as simple as adding a Python file to the `tools/` directory. The example `tools/hello.py` in the boilerplate looks like this:
```python
# tools/hello.py
"""Hello World tool {{project_name}}."""
from typing import Annotated
from pydantic import BaseModel, Field
class Output(BaseModel):
"""Response from the hello tool."""
message: str
async def hello(
name: Annotated[str, Field(description="The name of the person to greet")] = "World",
greeting: Annotated[str, Field(description="The greeting phrase to use")] = "Hello"
) -> Output:
"""Say hello to the given name.
This is a simple example tool that demonstrates the basic structure
of a tool implementation in Golf.
"""
print(f"{greeting} {name}...")
return Output(message=f"{greeting}, {name}!")
# Designate the entry point function
export = hello
```
Golf will automatically discover this file. The module docstring `"""Hello World tool {{project_name}}."""` is used as the tool's description. It infers parameters from the `hello` function's signature and uses the `Output` Pydantic model for the output schema. The tool will be registered with the ID `hello`.
## Authentication & Features
Golf includes enterprise-grade authentication, built-in utilities, and automatic telemetry:
```python
# auth.py - Configure authentication
from golf.auth import configure_auth, JWTAuthConfig, StaticTokenConfig, OAuthServerConfig
# JWT authentication (production)
configure_auth(JWTAuthConfig(
jwks_uri_env_var="JWKS_URI",
issuer_env_var="JWT_ISSUER",
audience_env_var="JWT_AUDIENCE",
required_scopes=["read", "write"]
))
# OAuth Server mode (Golf acts as OAuth 2.0 server)
# configure_auth(OAuthServerConfig(
# base_url="https://your-golf-server.com",
# valid_scopes=["read", "write", "admin"]
# ))
# Static tokens (development only)
# configure_auth(StaticTokenConfig(
# tokens={"dev-token": {"client_id": "dev", "scopes": ["read"]}}
# ))
# Built-in utilities available in all tools
from golf.utils import elicit, sample, get_context
```
```bash
# Enable OpenTelemetry tracing
export OTEL_TRACES_EXPORTER="otlp_http"
export OTEL_EXPORTER_OTLP_ENDPOINT="http://localhost:4318/v1/traces"
golf run # ✅ Telemetry enabled
```
**[📚 Complete Documentation →](https://docs.golf.dev)**
## Configuration
Basic configuration in `golf.json`:
```json
{
"name": "My Golf Server",
"host": "localhost",
"port": 3000,
"transport": "sse",
"opentelemetry_enabled": false,
"detailed_tracing": false
}
```
- **`transport`**: Choose `"sse"`, `"streamable-http"`, or `"stdio"`
- **`opentelemetry_enabled`**: Enable OpenTelemetry tracing
- **`detailed_tracing`**: Capture input/output (use carefully with sensitive data)
## Privacy & Telemetry
Golf collects **anonymous** usage data on the CLI to help us understand how the framework is being used and improve it over time. The data collected includes:
- Commands run (init, build, run)
- Success/failure status (no error details)
- Golf version, Python version (major.minor only), and OS type
- Template name (for init command only)
- Build environment (dev/prod for build commands only)
**No personal information, project names, code content, or error messages are ever collected.**
### Opting Out
You can disable telemetry in several ways:
1. **Using the telemetry command** (recommended):
```bash
golf telemetry disable
```
This saves your preference permanently. To re-enable:
```bash
golf telemetry enable
```
2. **During any command**: Add `--no-telemetry` to save your preference:
```bash
golf init my-project --no-telemetry
```
Your telemetry preference is stored in `~/.golf/telemetry.json` and persists across all Golf commands.
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