Editorial take
Why it stands out
Smithery should be framed as MCP vendor infrastructure, not as a generic model or workflow tool. The pricing only makes sense when server distribution and access management are product concerns.
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Tool profile
Managed distribution and monetization platform for MCP servers, with public pricing for hobby, pay-as-you-go, and custom vendor workflows.
MCP distribution
Smithery belongs in the catalog because it is one of the clearest productized layers forming around the MCP ecosystem. The official positioning is not generic AI tooling. It is specifically about helping MCP vendors distribute servers, manage OAuth, and package access commercially. That makes Smithery valuable for the catalog because it is close to where stack buyers and stack builders increasingly meet: the operational layer around tool distribution for agents.
It also deserves inclusion because the pricing page is specific enough to describe the model, not just the marketing posture. The checked official page currently shows Hobby as free, Pay as you Go at $30 per month with credits included, and a Custom plan for larger vendors. It also exposes operating details such as 25K RPCs per month and 3 namespaces on Hobby, plus $0.50 per 1K RPCs and 100 namespaces on Pay as you Go. That is exactly the sort of detail that makes an MCP platform commercially intelligible instead of merely interesting.
Quick fit
Editorial take
Smithery should be framed as MCP vendor infrastructure, not as a generic model or workflow tool. The pricing only makes sense when server distribution and access management are product concerns.
What it does well
Primary use cases
Fit notes
Compare with
Pressure-test this pick against nearby alternatives.
Pricing snapshot
Smithery currently offers Hobby for free, Pay as you Go at $30/month with included credit, and Custom pricing by contact. The checked page also lists Pay as you Go usage at $0.50 per 1K RPCs.
AgentOps
Free planAgent observability
Observability for AI agents with tracing, debugging, session visibility, and production monitoring.
Closer to agent observability than to model hosting or prompt tooling
