%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Goose Extensions
An attempt to implement MCP services for the Goose project
rating : 2.5 points
downloads : 13
What is the Goose MCP Server?
The Goose MCP Server is a modular communication protocol server built on the Goose framework, used for handling data exchange in the model context. It allows developers to quickly implement custom functions through simple configuration.How to use the Goose MCP Server?
First, you need to install the Python environment and activate the virtual environment. Then, run the server instance according to the configuration file. You can start using it by specifying different MCP services in the configuration file.Applicable Scenarios
Suitable for scenarios that require model context data exchange, such as AI model inference and multi - device collaboration.Main Features
Modular DesignSupports flexible plug - in extensions and can load different modules according to requirements.
Cross - platform CompatibilityCan run on multiple operating systems, including Linux, Windows, and macOS.
High - efficiency PerformanceThe optimized data transmission mechanism ensures low latency and high throughput.
Advantages and Limitations
Advantages
Easy to integrate and expand
Supports a rich set of API interfaces
Active community and perfect technical support
Limitations
Requires a certain level of hardware performance
Some advanced features may require additional learning costs
How to Use
Install the Dependent Environment
Ensure that Python is installed on the system and run `uv sync` to initialize the virtual environment.
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%230080ff;%20}%20%3c/style%3e%3c/defs%3e%3cpath%20class='st0'%20d='M16.2,11.1c.4.5.4,1.2,0,1.8l-4.7,7.1h-3.8l5.3-8L7.6,4h3.8l4.7,7.1Z'/%3e%3c/svg%3e)
Start the MCP Server
Execute the startup script in the virtual environment, such as `uv run /path/to/mcp_server/.venv/bin/mcp_server_name`.
Usage Examples
Basic Configuration ExampleSpecify the MCP service through the configuration file, and data interaction can be carried out immediately after startup.
Multi - device CollaborationMultiple devices are connected through Goose MCP to achieve data sharing and task distribution.
Frequently Asked Questions
How to solve the problem of startup failure?
Does the MCP server support HTTPS encryption?
Related Resources
Goose Official Documentation
Comprehensively understand the basic knowledge and advanced usage of the Goose framework.
GitHub Repository
Access the open - source code repository to get the latest updates and support.
YouTube Tutorial
Watch video tutorials to quickly get started with the Goose MCP server.
Featured MCP Services
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
100
4.3 points
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
153
4.5 points
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
840
4.3 points
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
575
5 points
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
761
4.8 points