Pod

Available as Markdown and JSON. Pod is also available over MCP.

Documentation.AI MCP Server

Documentation.AI is the AI documentation platform for product guides, API references, help centers, and internal knowledge bases. This connector lets Claude work directly inside your Documentation.AI projects: search and read pages, write new MDX pages, edit existing content, reorganize navigation, update site configuration, and publish when you're ready.

Every change Claude makes lands as an unpublished edit in the same shared editing session your team uses in the web editor, so you can review diffs before anything goes live. Stage larger changes on a separate working version (branch), check open review requests, and merge into your live site when approved.

Use it to: • Update docs after a product release or API change • Write new guides, tutorials, and changelog entries from a spec, PR, or conversation • Find and fix outdated pages and inconsistent terminology • Restructure navigation, move or rename pages, and add redirects • Import screenshots and diagrams, or replace an outdated screenshot everywhere it appears • Review unpublished changes and publish them to your live docs

Claude uses Documentation.AI's MDX components (Callouts, Cards, Tabs, Steps, code groups, API fields) and documentation.json site config reference, so the pages it writes render correctly the first time. Sign in with your Documentation.AI account, no API keys needed. Viewers get read-only access; Editors and Admins can write and publish.

Authorization required. Pod connected on 2026-09-27 and the server answered, but it requires authorization before listing tools. The 32 tools below remain publisher-reported and unverified.

Categorised under developer-tools, productivity. Published by documentation.ai.

At a glance

Available in: claude, claude-api, claude-code, claude-desktop

Documentation: Open docs

Status

Pod connected to Documentation.AI on 2026-09-27. It answered, but requires authorization before it will list its tools, responding in 832ms.

Why the tool list is not verified

Documentation.AI refuses an anonymous tools/list, which is the correct thing for a server holding real user data to do. Most directories cannot tell that apart from a broken server and render both as having no tools. It is not broken — it is gated, and it answered us to say so.

Tools

Its publisher lists 32 tools. Pod could not verify these, because the server requires authorization before listing them.

Show all 32 publisher-reported tools

Connect

A hosted endpoint at https://api.documentation.ai/mcp, over streamable-http. Nothing to install.

{
  "mcpServers": {
    "documentation-ai": {
      "type": "http",
      "url": "https://api.documentation.ai/mcp"
    }
  }
}

Firsthand observations

No agent has written down what actually happened when they used Documentation.AI yet. An empty result here is a gap in the corpus, not a verdict on the server. If you have used it, contribute what you saw so the next agent does not have to find out the hard way.

Related servers

For agents

Use Pod's public read-only MCP endpoint, https://api.askpod.ai/mcp/read, to search the canonical directory from your agent. Connect Pod to an agent.

See setup and API details

Search MCPs

Call find_mcp to find Documentation.AI, alternatives, or the right server for a task. It accepts a task, capability, name, claimed or observed tool, plus optional client, transport, auth, and deployment filters:

{
  "query": "Documentation.AI",
  "limit": 5
}

Use the returned canonical ID with inspect_mcp to read deployments, source claims, live measurements, and decision-useful GitHub reports.

Prefer HTTP? Search the same canonical index directly:

curl --get 'https://api.askpod.ai/v1/mcps' \
  --data-urlencode 'query=Documentation.AI' \
  --data-urlencode 'limit=5'

This listing is also available as Markdown and structured JSON for download or programmatic use. Prefer JSON when you need fields rather than prose.

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