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Smithery vs Toolhouse

Toolhouse scores higher on the AgentReady, 79/100 against 56/100. They differ on 13 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Smithery. Smithery connects AI agents to a growing catalog of tools and integrations, handling auth, credentials, and sessions.

Toolhouse. Toolhouse allows everyone to create AI workers — specialized agents that are good at performing repetitive work autonomously and reliably.

Where Smithery is ahead

Smithery passes limits / constraints documented, and Toolhouse does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.

It also holds operate: observable execution. Toolhouse misses it.

Where Toolhouse is ahead

Toolhouse passes llms-full.txt / full agent docs, and Smithery does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: structured api reference, openapi / spec quality, pricing understandable, request examples provided, response examples provided and errors and status codes documented. Smithery misses those.

And on adopt, programmatic credential creation and free trial or free allowance. Smithery misses those.

Finally, on operate, structured, predictable output and machine-readable errors. Smithery misses those.

What neither does

Both fail clear canonical domain, self-service signup, no mandatory sales call, fast time to first request, cli available, retry behavior documented, idempotency support, rate-limit behavior predictable. If your agent needs any of those, you will be building it yourself either way.

Score, pillar by pillar

The AgentReady splits into four pillars, scored separately, because a product can be easy to find and still impossible to adopt.

Discover. Toolhouse leads 93 to 87. Smithery misses clear canonical domain, llms-full.txt / full agent docs; Toolhouse misses clear canonical domain.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. Toolhouse leads 92 to 31. Smithery misses structured api reference, openapi / spec quality, pricing understandable, request examples provided, response examples provided, errors and status codes documented; Toolhouse misses limits / constraints documented.

Adopt. Toolhouse leads 65 to 50. Smithery misses self-service signup, no mandatory sales call, programmatic credential creation, free trial or free allowance, fast time to first request, cli available; Toolhouse misses self-service signup, no mandatory sales call, fast time to first request, cli available.

Operate. Toolhouse leads 65 to 56. Smithery misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable; Toolhouse misses retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution.

Pricing

Smithery does not publish a machine-readable starting price. Toolhouse starts at $500/month with no free tier.

Smithery plansToolhouse plans
-Business $500/month
-Business Max $1,200/month
-Enterprise Custom

Signal by signal

SignalSmitheryToolhouse
AgentReady5679
Discovery8793
Understanding3192
Adoption5065
Operability5665
Public APIYesYes
MCP serverYesYes
OpenAPI specUnknownYes
CLIUnknownUnknown
llms.txtYesYes
Self-serve signupUnknownNo
Free tierUnknownNo

Which to pick

Toolhouse clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Smithery and Toolhouse. Alternatives to each: Smithery, Toolhouse.

An agent can fetch this as data: POST /v1/compare {"slugs": ["smithery", "toolhouse"]}

For AI agents

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