Smithery vs Goose (by Block)
Detailed side-by-side comparison to help you choose the right tool
Smithery
🟡Low CodeAI Agents
Smithery is the registry and hosted runtime for Model Context Protocol servers — discover, install and run MCP servers for Claude, Cursor, Windsurf and more.
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CustomGoose (by Block)
🔴DeveloperAI Agents
Open-source, extensible AI agent from Block that runs on your machine and orchestrates LLMs, MCP tools, and developer workflows.
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CustomFeature Comparison
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Smithery - Pros & Cons
Pros
- ✓Install commands genuinely work first-try across Claude, Cursor and Windsurf.
- ✓Schema-driven configuration prevents the most common MCP setup errors.
- ✓Hosted runtime removes ops burden and unlocks cloud and browser-based clients.
Cons
- ✗Hosted runtime cold starts can be slow on rarely-used long-tail servers.
- ✗Some catalog entries in the long tail are unmaintained or abandoned.
- ✗Monetization for free OSS server authors is still an evolving story.
Goose (by Block) - Pros & Cons
Pros
- ✓Open source and free under Apache 2.0 — no vendor lock-in
- ✓MCP-native: the entire MCP server ecosystem is available out of the box
- ✓Bring-your-own LLM, including local models like Ollama for cost control
- ✓Approval flows let you inspect every tool call before it runs
- ✓Backed by a real product company (Block) rather than a one-person side project
Cons
- ✗Setup is config-driven — not a one-click consumer experience
- ✗Desktop UI is less polished than Cursor or Claude Desktop
- ✗No managed cloud option for non-developer teammates
- ✗You're responsible for picking model + tool combos and managing safety
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