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Goose With Mcp Servers
What is Goose With Mcp Servers
goose-with-mcp-servers is a Docker image that integrates the Goose tool with MCP servers, allowing for seamless interaction with various model providers.
Use cases
Use cases include integrating GitHub as a model provider, setting up automated workflows for model deployment, and enhancing development environments with additional extensions.
How to use
To use goose-with-mcp-servers, run the command goose configure to set up the connection to the desired model provider. You can also automatically install Goose using a provided script and configure it as needed.
Key features
Key features include easy configuration for connecting to model providers, support for adding command-line extensions, and dependency management for required libraries like libdbus.
Where to use
goose-with-mcp-servers can be used in software development environments, particularly for projects that require interaction with machine learning models and APIs.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Goose With Mcp Servers
goose-with-mcp-servers is a Docker image that integrates the Goose tool with MCP servers, allowing for seamless interaction with various model providers.
Use cases
Use cases include integrating GitHub as a model provider, setting up automated workflows for model deployment, and enhancing development environments with additional extensions.
How to use
To use goose-with-mcp-servers, run the command goose configure to set up the connection to the desired model provider. You can also automatically install Goose using a provided script and configure it as needed.
Key features
Key features include easy configuration for connecting to model providers, support for adding command-line extensions, and dependency management for required libraries like libdbus.
Where to use
goose-with-mcp-servers can be used in software development environments, particularly for projects that require interaction with machine learning models and APIs.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
goose-with-mcp-servers
Codename goose docker image with mcp servers
Configuring Goose
Run goose configure to setup connection from goose to LLM.
Example output for Ollama (use host.docker.internal instead of localhost due to docker networking))
Welcome to goose! Let's get you set up with a provider. you can rerun this command later to update your configuration ┌ goose-configure │ ◇ Which model provider should we use? │ Ollama │ ◇ Provider Ollama requires OLLAMA_HOST, please enter a value │ host.docker.internal │ ◇ Enter a model from that provider: │ qwen2.5 │ ◓ Checking your configuration... └ Configuration saved successfully Tip: Run 'goose configure' again to adjust your config or add extensions
Automatic install of Goose
Devcontainer contains installing of Goose via postCreateCommand.
curl -fsSL https://github.com/block/goose/releases/download/stable/download_cli.sh | CONFIGURE=false bash
Dependency
Goose requires libdbus which is also added to Devcontainer
sudo apt-get update && sudo apt-get install -y libdbus-1-3
Add GitHub MCP Server to Goose
GitHub Personal access token added via https://github.com/settings/personal-access-tokens/
node ➜ /workspaces/goose-with-mcp-servers (main) $ goose configure This will update your existing config file if you prefer, you can edit it directly at /home/node/.config/goose/config.yaml ┌ goose-configure │ ◇ What would you like to configure? │ Add Extension │ ◇ What type of extension would you like to add? │ Command-line Extension │ ◇ What would you like to call this extension? │ GitHub │ ◇ What command should be run? │ npx -y @modelcontextprotocol/server-github │ ◇ Would you like to add environment variables? │ Yes │ ◇ Environment variable name: │ GITHUB_PERSONAL_ACCESS_TOKEN │ ◇ Environment variable value: │ ▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪ │ ◇ Add another environment variable? │ No │ └ Added GitHub extension
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










