Official MCP Registry vs Smithery vs Composio vs Hugging Face
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
| MCP Official MCP Registry The canonical open catalog and API for discovering Model Context Proto... Visit |
Smithery
Search, install and host MCP servers and AI agent skills
Visit
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Composio
Managed auth for 1,000+ SaaS tools, built for AI agents
Visit
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Hugging Face
The registry the open-source AI world runs on
Visit
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| RECATOOLS Score | 6.5 / 10 | 7.3 / 10 | 7.6 / 10 | 8.5 / 10 |
| Capability | — | — | ||
| Value for money | — | — | ||
| Ease of use | — | — | ||
| ASEAN readiness | — | — | ||
| API quality | — | — | ||
| Pricing | Open Source | Freemium | Freemium | Freemium |
| Free tier | Free and open-source; open REST API for publishing and discovering MCP servers. | — | — | Unlimited public model/dataset access; 100GB private storage; limited daily ZeroGPU/inference credits |
| Paid from | — | — | — | PRO $9/mo/user; Team $20/mo/seat; Enterprise $50+/mo/user |
| Has API | ✓ | ✓ | ✓ | ✓ |
| Open source | ✓ | ✗ | ✓ | ✓ |
| Free to use | ✓ | ✓ | ✓ | ✓ |
| Users | — | — | — | ~13M monthly active users; 50,000+ organizations |
| Founded | — | — | 2023 | 2016 |
| Maker | Model Context Protocol project | — | — | Clément Delangue, Julien Chaumond, Thomas Wolf |
| Verdict | What this is for: A canonical, open API and catalog for publishing and discovering MCP servers across the ecosystem. Who this is for: Tool authors, MCP client developers, and platforms building server marketplaces or ag... |
Smithery solved a real problem early: before it existed, finding and running MCP servers meant hunting through scattered GitHub repos and hand-editing JSON configs. Its registry now covers thousands of servers plus a new... |
Composio tackles a genuinely annoying problem: getting an AI agent authenticated access to the SaaS tools it needs to actually do something, instead of every team rebuilding OAuth plumbing for Gmail, Slack, GitHub and Sa... |
The open-source AI world runs on this. If a model is public — Llama, Qwen, Whisper, a fine-tuned diffusion checkpoint — it almost certainly lives on the Hub, and pulling it down is a two-line call in the transformers lib... |
| Full review → | Full review → | Full review → | Full review → |
Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.