Comparison
Goose vs Workflow MCP
Goose has more GitHub stars (55,349 vs 0). Goose was updated more recently (last commit 1d ago). Data comes straight from GitHub and refreshes daily.
Goose
An open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
$
git clone https://github.com/aaif-goose/gooseWorkflow MCP
Session-bound Docker workflow server through Codex. State is discarded with the container.
$
docker run -i --rm docker.io/juliusolsson/workflow-mcp@sha256:4b6889f9e78d0208e6d1d343ba23d0c5d092b1a1513a73c9c85deb2d00ab5855| Metric | Goose | Workflow MCP |
|---|---|---|
| Type | MCP server | MCP server |
| GitHub stars | 55,349 | 0 |
| Stars, last 7 days | +33 | n/a |
| Forks | 6,452 | 0 |
| Upvotes | 0 | 0 |
| Language | Rust | n/a |
| License | Apache-2.0 | n/a |
| Last commit | 1d ago | n/a |
| Created | Aug 2024 | n/a |
| Categories | AI & LLM tooling, Dev tools | Dev tools |