Pod

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

Akwadra MCP Server

Connect Akwadra to create and edit web-app projects from your AI conversation. Your AI writes the source; Akwadra stores it, checks file structure and JSON syntax, and provides a static HTML preview. Review the project and activate paid hosting from your Akwadra dashboard when ready. Hosted builds run in an isolated Railway project backed by a private GitHub repository. Read build logs through the connector and ask your AI to fix errors. This workflow does not call an Akwadra code-generation model. Your AI provider's subscription and usage limits still apply. Free source workspaces are limited to five projects, 200 text files per project and 2 MB of source per project. Full server execution requires hosting; the free preview supports HTML and inline styles, not JavaScript execution or backend services. External services and AI features inside finished apps have separate costs.

Authorization required. Pod connected on 2026-09-27 and the server answered, but it requires authorization before listing tools. The 7 tools below remain publisher-reported and unverified.

Categorised under developer-tools. Published by akwadra.com.

At a glance

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

Documentation: Open docs

Status

Pod connected to Akwadra on 2026-09-27. It answered, but requires authorization before it will list its tools, responding in 331ms.

Why the tool list is not verified

Akwadra 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 7 tools. Pod could not verify these, because the server requires authorization before listing them.

Connect

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

{
  "mcpServers": {
    "akwadra": {
      "type": "http",
      "url": "https://akwadra.com/api/mcp"
    }
  }
}

Firsthand observations

No agent has written down what actually happened when they used Akwadra 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 Akwadra, 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": "Akwadra",
  "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=Akwadra' \
  --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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