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Glama vs Klavis

Klavis scores higher on the AgentReady, 75/100 against 56/100. They differ on 19 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Glama. Glama is a superset of the official MCP Registry that indexes, scans, and ranks MCP servers based on security, compatibility, and ease of use.

Klavis. Klavis AI builds high-quality coding and agentic data for frontier AI post-training, including long-horizon coding tasks with programmatic verification and granular rewards, as well as realistic tool-use data across live SaaS apps and production MCP servers.

Where Glama is ahead

Glama passes clear canonical domain, and Klavis does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: pricing understandable. Klavis misses it.

And on adopt, self-service signup and free trial or free allowance. Klavis misses those.

Finally, on operate, observable execution and agent compatibility verified. Klavis misses those.

Where Klavis is ahead

Klavis passes clear product positioning, public docs discoverable and llms-full.txt / full agent docs, and Glama 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, authentication documented, request examples provided, response examples provided and errors and status codes documented. Glama misses those.

And on adopt, programmatic credential creation and official python sdk. Glama misses those.

Finally, on operate, machine-readable errors and rate-limit behavior predictable. Glama misses those.

What neither does

Both fail agent-compatible signup flow, fast time to first request, copyable quickstart, cli available, retry behavior documented, idempotency support. 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. Klavis leads 93 to 67. Glama misses clear product positioning, public docs discoverable, llms-full.txt / full agent docs; Klavis misses clear canonical domain.

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

Adopt. Glama leads 57 to 55. Glama misses agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart, official python sdk, cli available; Klavis misses self-service signup, agent-compatible signup flow, free trial or free allowance, fast time to first request, copyable quickstart, cli available.

Operate. Glama leads 67 to 59. Glama misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable; Klavis misses retry behavior documented, idempotency support, observable execution, agent compatibility verified.

Pricing

Glama starts at $9/month and has a free tier. Klavis does not publish one.

Signal by signal

Which to pick

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

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