# Docusaurus docs and AI agent readiness

How 12 products documented on Docusaurus score on the AI Agent Readiness Test. Average 68.4%, with the five agent surface checks for each.

Docs platform

12 of the 97 products tested serve their documentation on Docusaurus.

Scores run from 50.0% to 96.2%, averaging 68.4%. Every Docusaurus product tested passes llms.txt. The AI Agent Readiness Test scores the documentation, never the platform, so these numbers describe what these 12 teams published rather than what Docusaurus can do.

## Scores on Docusaurus

AI Agent Readiness Score for each product documented on Docusaurus.

Product

Category

Grade

Score

Reading

Surface

llms

full

.md

MCP

AI

[MotherDuck](https://docsforagents.com/reports/motherduck-docs-ai-agent-readiness/)

[Databases & analytics](https://docsforagents.com/grades/?category=databases)

A

96.2%

27/30

50/50

pass

pass

pass

pass

pass

[Convex](https://docsforagents.com/reports/convex-docs-ai-agent-readiness/)

[Databases & analytics](https://docsforagents.com/grades/?category=databases)

A

95.0%

26/30

50/50

pass

pass

pass

pass

pass

[Mapbox](https://docsforagents.com/reports/mapbox-docs-ai-agent-readiness/)

[Geospatial & maps](https://docsforagents.com/grades/?category=geospatial)

B-

80.0%

24/30

40/50

pass

fail

pass

pass

pass

[Mastra](https://docsforagents.com/reports/mastra-docs-ai-agent-readiness/)

[Agent frameworks & memory](https://docsforagents.com/grades/?category=agent-frameworks)

B-

80.0%

24/30

40/50

pass

fail

pass

pass

pass

[Airbyte](https://docsforagents.com/reports/airbyte-docs-ai-agent-readiness/)

[Data pipelines & documents](https://docsforagents.com/grades/?category=data-pipelines)

D+

67.5%

24/30

30/50

pass

fail

pass

fail

pass

[Speechmatics](https://docsforagents.com/reports/speechmatics-docs-ai-agent-readiness/)

[Voice & speech](https://docsforagents.com/grades/?category=voice)

D

65.0%

22/30

30/50

pass

pass

pass

fail

fail

[Ory](https://docsforagents.com/reports/ory-docs-ai-agent-readiness/)

[Identity & auth](https://docsforagents.com/grades/?category=identity)

D-

62.5%

20/30

30/50

pass

fail

pass

fail

pass

[Zilliz Cloud](https://docsforagents.com/reports/zilliz-docs-ai-agent-readiness/)

[Search & retrieval](https://docsforagents.com/grades/?category=search)

D-

60.0%

18/30

30/50

pass

fail

pass

fail

pass

[Overture Maps](https://docsforagents.com/reports/overture-maps-docs-ai-agent-readiness/)

[Geospatial & maps](https://docsforagents.com/grades/?category=geospatial)

F

58.8%

27/30

20/50

pass

pass

fail

fail

fail

[Hermes Agent](https://docsforagents.com/reports/hermes-agent-docs-ai-agent-readiness/)

[Coding agents](https://docsforagents.com/grades/?category=coding-agents)

F

53.8%

23/30

20/50

pass

pass

fail

fail

fail

[Fused](https://docsforagents.com/reports/fused-docs-ai-agent-readiness/)

[Geospatial & maps](https://docsforagents.com/grades/?category=geospatial)

F

52.5%

22/30

20/50

pass

pass

fail

fail

fail

[Vectara](https://docsforagents.com/reports/vectara-docs-ai-agent-readiness/)

[Search & retrieval](https://docsforagents.com/grades/?category=search)

F

50.0%

20/30

20/50

pass

fail

pass

fail

fail

## Agent surface on Docusaurus

-   **llms.txt** 12 of 12
-   **llms-full.txt** 6 of 12
-   **Markdown mirror** 9 of 12
-   **MCP server** 4 of 12
-   **Docs AI** 7 of 12

Recorded as Docusaurus, Docusaurus 3.6.3, Docusaurus 3.9.2, Docusaurus 3.10.0, Docusaurus 3.10.1, Docusaurus 3.10.2 during testing. A sample of 12 shows what these teams shipped and does not establish a platform default.

[All docs platforms](https://docsforagents.com/platforms/) · [Every score in one table](https://docsforagents.com/grades/)

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Canonical URL: https://docsforagents.com/platforms/docusaurus-docs-ai-agent-readiness/