gopher-mcp-python 0.1.30

Python SDK for Gopher MCP - AI Agent orchestration framework with native performance

gopher-mcp-python Python SDK

Python SDK for gopher-mcp-python, providing AI agent orchestration with native C++ performance through ctypes FFI bindings.

Features

• Python 3.8+ compatibility
• pip/setuptools build system
• ctypes FFI bindings to native library
• GopherAgent class with builder pattern configuration
• Context manager support for automatic resource cleanup
• Typed errors (AgentError, ApiKeyError, ConnectionError, TimeoutError)
• Comprehensive test suite with pytest

Requirements

• Python 3.8 or higher
• venv and pip for PyPI installation, examples, and development workflows
• Native gopher-mcp-python library (built from source)

On Debian/Ubuntu, install the Python venv and pip packages before using the PyPI install path, running examples, or setting up development dependencies:

sudo apt-get install python3 python3-venv python3-pip

Installation

From Source

1. Clone the repository:

git clone https://github.com/GopherSecurity/gopher-mcp-python.git
cd gopher-mcp-python

2. Build the native library:

./build.sh

3. Install the Python package:

python3 -m pip install -e .

Quick Start

Using API Key

from gopher_mcp_python import GopherAgent, GopherAgentConfig

# Create configuration with API key
config = (GopherAgentConfig.builder()
    .provider("AnthropicProvider")
    .model("claude-3-haiku-20240307")
    .api_key("your-api-key")
    .build())

# Create and use agent with context manager
with GopherAgent.create(config) as agent:
    response = agent.run("What time is it in Tokyo?")
    print(response)

Using JSON Server Configuration

from gopher_mcp_python import GopherAgent, GopherAgentConfig

# Create configuration with server config
config = (GopherAgentConfig.builder()
    .provider("AnthropicProvider")
    .model("claude-3-haiku-20240307")
    .server_config('{"mcpServers": [...]}')
    .build())

# Create agent
agent = GopherAgent.create(config)
try:
    response = agent.run("What is the weather?")
    print(response)
finally:
    agent.dispose()

Using Convenience Methods

from gopher_mcp_python import GopherAgent

# Create with API key (shorthand)
agent = GopherAgent.create_with_api_key(
    provider="AnthropicProvider",
    model="claude-3-haiku-20240307",
    api_key="your-api-key"
)

# Or with server config
agent = GopherAgent.create_with_server_config(
    provider="AnthropicProvider",
    model="claude-3-haiku-20240307",
    server_config='{"mcpServers": [...]}'
)

Getting Detailed Results

from gopher_mcp_python import GopherAgent

with GopherAgent.create(config) as agent:
    result = agent.run_detailed("What time is it?")

    if result.is_success():
        print(f"Response: {result.response}")
        print(f"Iterations: {result.iteration_count}")
        print(f"Tokens used: {result.tokens_used}")
    elif result.is_timeout():
        print(f"Request timed out: {result.error_message}")
    else:
        print(f"Error: {result.error_message}")

API Reference

GopherAgent

Main class for interacting with the gopher-mcp-python native library.

Static Methods

• GopherAgent.init() - Initialize the library (called automatically)
• GopherAgent.shutdown() - Shutdown the library
• GopherAgent.is_initialized() - Check if library is initialized
• GopherAgent.create(config) - Create an agent with configuration
• GopherAgent.create_with_api_key(provider, model, api_key) - Convenience method
• GopherAgent.create_with_server_config(provider, model, server_config) - Convenience method

Instance Methods

• agent.run(query, timeout_ms=60000) - Run a query and get response string
• agent.run_detailed(query, timeout_ms=60000) - Run a query and get AgentResult
• agent.dispose() - Release resources
• agent.is_disposed() - Check if agent is disposed

GopherAgentConfig

Configuration class with builder pattern.

config = (GopherAgentConfig.builder()
    .provider("AnthropicProvider")  # Required
    .model("claude-3-haiku-20240307")  # Required
    .api_key("key")  # Either api_key or server_config required
    .server_config("{...}")  # Either api_key or server_config required
    .build())

AgentResult

Result class with status and metadata.

• result.response - Response text
• result.status - AgentResultStatus enum
• result.iteration_count - Number of iterations
• result.tokens_used - Tokens consumed
• result.error_message - Error message (if applicable)
• result.is_success() - Check if successful
• result.is_error() - Check if error
• result.is_timeout() - Check if timeout

Exceptions

• AgentError - Base exception for agent errors
• ApiKeyError - Invalid API key
• ConnectionError - Connection failed
• TimeoutError - Operation timed out

Development

Running Tests

pytest

Code Formatting

This project uses Black for code formatting and Ruff for linting.

Format code:

black .

Check formatting without modifying:

black --check .

Run linter:

ruff check .

Fix linting issues:

ruff check --fix .

Building the Native Library

./build.sh

Clean Build

./build.sh --clean

Environment Variables

• GOPHER_MCP_PYTHON_LIBRARY_PATH - Custom path to native library
• DEBUG - Enable debug output for library loading

License

See LICENSE file for details.