workflowstacks
mcp-server

Goose: AI Code Assistant

Get AI-driven code help with Goose.
intermediate⏱ 30 minutes💵 Free (self-hosted)
53,832 stars6,160 forksRustGuide quality 8/10Updated 9/2/2026100% free · open source
What it is

Use Goose to get AI-driven code help for your development needs.

Real use case example

"A founder working on an e-commerce platform wants to automate customer welcome emails and addition to their database. They use Goose to install a script that collects form submissions, sends a customizable email, and adds users to their database. With Goose's editing capabilities, they fine-tune the script in minutes."

Best insideClaude DesktopAny AI Client
When to use it
  • •When you need AI-driven code help for your Rust projects
  • •When you want to automate repetitive coding tasks with an extensible AI agent
  • •When you're developing applications that require integration with large language models
Ready-to-paste prompt
goose exec -c 'print("Hello, World!")' --llm my-llm-model
Heads up: Ensure you have Rust and Cargo installed on your system, as Goose is built with Rust and uses Cargo for package management
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/goose && curl -fsSL https://workflowstacks.com/api/skills/goose/claude-skill -o ~/.claude/skills/goose/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How Goose: AI Code Assistant works
Codeflow
Free to inspect

Goose: AI Code Assistant is a very large Rust project (~318k lines across 1070 code files, plus 96 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.

Size
Very large codebase
~318k lines · 1070 code files · days to read — use, don't read
Setup
Developer setup
A real software project. Use it via its install path; don't expect to read it all.
Runs on
Rust · Docker
No API keys detected
Rust 71%TypeScript 25%Python 1%Shell 1%HTML 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    AGENTS.md
    The instructions the AI actually follows
  3. 3
    bin/npm
    Where the program starts running
  4. 4
    Cargo.toml
    Dependencies and the commands it exposes
  5. 5
    examples/frontend_tools.py
    A worked example — copy this to get going
What's in each folder
ui/Frontend / UI624 files
bin/Command-line entry points39 files
services/Backend / API26 files
documentation/Documentation828 files
examples/Examples you can copy12 files
crates/Folder707 files
scripts/Helper scripts27 files
evals/Evaluations & benchmarks10 files
READMEHas testsDocumentedCI checksDocker readyExamples includedApache-2.0 licenseUpdated this month
Quick Actions
Details
Creator
aaif-goose
Language
Rust
Category
mcp-server
Published
8/23/2024

Are you the creator of this tool? Claim your listing → and earn 85% of every sale.

Related skills

More mcp-server tools founders pair with this one.

mcp-server★ 242,984
ECC: Optimize Performance
Get optimized performance with ECC, a research-first agent harness system for founders working with AI agents and developer tools like Claude Code and Codex
mcp-server★ 154,960
Dify: Streamline Workflow
Get a production-ready platform with Dify.
mcp-server★ 150,115
open-webui: Easy AI Interface
Get a user-friendly AI interface with open-webui, supporting Ollama and OpenAI API, for founders
mcp-server★ 113,199
Graphify
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing…
mcp-server★ 106,674
gemini-cli: AI in your terminal
Get AI power with gemini-cli,, 105k+ GitHub stars
mcp-server★ 82,036
LobeHub: 24/7 AI Team Management
Founders get organized AI operations with LobeHub. For startup founders managing AI teams.