block

block/goose

Built by block 33,674 stars

What is block/goose?

an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM

How to use block/goose?

1. Install a compatible MCP client (like Claude Desktop). 2. Open your configuration settings. 3. Add block/goose using the following command: npx @modelcontextprotocol/block-goose 4. Restart the client and verify the new tools are active.
🛡️ Scoped (Restricted)
npx @modelcontextprotocol/block-goose --scope restricted
🔓 Unrestricted Access
npx @modelcontextprotocol/block-goose

Key Features

Native MCP Protocol Support
Real-time Tool Activation & Execution
Verified High-performance Implementation
Secure Resource & Context Handling

Optimized Use Cases

Extending AI models with custom local capabilities
Automating system workflows via natural language
Connecting external data sources to LLM context windows

block/goose FAQ

Q

Is block/goose safe?

Yes, block/goose follows the standardized Model Context Protocol security patterns and only executes tools with explicit user-granted permissions.

Q

Is block/goose up to date?

block/goose is currently active in the registry with 33,674 stars on GitHub, indicating its reliability and community support.

Q

Are there any limits for block/goose?

Usage limits depend on the specific implementation of the MCP server and your system resources. Refer to the official documentation below for technical details.

Official Documentation

View on GitHub
<div align="center">

goose

a local, extensible, open source AI agent that automates engineering tasks

<p align="center"> <a href="https://opensource.org/licenses/Apache-2.0" ><img src="https://img.shields.io/badge/License-Apache_2.0-blue.svg"></a> <a href="https://discord.gg/goose-oss" ><img src="https://img.shields.io/discord/1287729918100246654?logo=discord&logoColor=white&label=Join+Us&color=blueviolet" alt="Discord"></a> <a href="https://github.com/block/goose/actions/workflows/ci.yml" ><img src="https://img.shields.io/github/actions/workflow/status/block/goose/ci.yml?branch=main" alt="CI"></a> </p> </div>

goose is your on-machine AI agent, capable of automating complex development tasks from start to finish. More than just code suggestions, goose can build entire projects from scratch, write and execute code, debug failures, orchestrate workflows, and interact with external APIs - autonomously.

Whether you're prototyping an idea, refining existing code, or managing intricate engineering pipelines, goose adapts to your workflow and executes tasks with precision.

Designed for maximum flexibility, goose works with any LLM and supports multi-model configuration to optimize performance and cost, seamlessly integrates with MCP servers, and is available as both a desktop app as well as CLI - making it the ultimate AI assistant for developers who want to move faster and focus on innovation.

Watch the video

Quick Links

Need Help?

a little goose humor 🪿

Why did the developer choose goose as their AI agent?

Because it always helps them "migrate" their code to production! 🚀

goose around with us

Global Ranking

8.5
Trust ScoreMCPHub Index

Based on codebase health & activity.

Manual Config

{ "mcpServers": { "block-goose": { "command": "npx", "args": ["block-goose"] } } }