What is goose-with-mcp-servers?
This is a Docker image that preconfigures Goose with MCP servers, enabling it to interact with various Large Language Models (LLMs). It also provides instructions and examples for adding extensions, such as a GitHub MCP server.
How to use goose-with-mcp-servers?
- Configure Goose using
goose configureto connect to your desired LLM (e.g., Ollama). 2. Utilize the Devcontainer for automatic Goose installation. 3. Install necessary dependencies like libdbus. 4. Add a GitHub MCP server to Goose by configuring a command-line extension with the appropriate command and environment variables (GitHub Personal Access Token).
Key features of goose-with-mcp-servers
Dockerized environment
MCP server integration
Goose configuration
Automatic installation via Devcontainer
GitHub extension support
Use cases of goose-with-mcp-servers
Connecting Goose to local LLMs (e.g., Ollama)
Integrating GitHub repositories as context for LLMs
Automating Goose setup and configuration
Developing and testing Goose extensions
Creating AI-powered applications with GitHub integration
FAQ from goose-with-mcp-servers
What is Goose?
What is Goose?
Goose is a tool that helps you connect to and manage Large Language Models.
What is an MCP server?
What is an MCP server?
MCP stands for Model Context Protocol, which allows Goose to interact with different LLMs and data sources.
How do I configure Goose to use Ollama?
How do I configure Goose to use Ollama?
Run goose configure and select Ollama as the provider, then provide the Ollama host and model name.
How do I add a GitHub MCP server?
How do I add a GitHub MCP server?
Use goose configure to add a command-line extension, specifying the command npx -y @modelcontextprotocol/server-github and setting the GITHUB_PERSONAL_ACCESS_TOKEN environment variable.
What is a Devcontainer?
What is a Devcontainer?
A Devcontainer provides a consistent development environment with pre-installed dependencies and configurations.