Pod

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

WhisperAI MCP Server

WhisperAI connects your transcript library to Claude, so you can work with your recordings without leaving the conversation.

Sign in with your whisperai.com account and Claude can search your transcripts, open any of them as plain text, timestamped segments, or SRT/VTT captions, and pull an AI summary of a completed transcript. Ask "find my interview where we discussed pricing" or "summarize yesterday's client call and list the action items" and Claude finds the right recording and answers from its actual text.

Adding new audio is just as direct. Give Claude a public link and WhisperAI transcribes it server-side, or ask to upload a file and a secure uploader appears right in the chat — the audio travels straight from your device to WhisperAI's storage, never through the conversation. Transcription runs in the background and Claude reports back when the text is ready, with optional speaker labels and language selection.

You can also keep your library tidy from the chat: rename transcripts, translate them into other languages, or delete ones you no longer need (deletions always require your confirmation).

WhisperAI works on every plan, including the free tier — the connector uses your plan's normal transcription minutes and limits, with no API key required. Read tools never modify anything, every action is scoped to your own account, and you can disconnect at any time from Claude's settings.

Tools observed. Pod connected on 2026-09-27 and the server listed 12 tools directly. Verified.

Categorised under productivity, communication, media. Published by whisperai.com.

At a glance

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

Documentation: Open docs

Status

Pod connected to WhisperAI on 2026-09-27. It answered and listed its tools, responding in 1475ms.

It identifies itself as whisperai version 1.0.0, speaking streamable-http. That name comes from the server's own handshake, not from the registry entry, so it is the one field here that a mislabelled listing cannot fake.

Tools

Pod observed 12 tools when it connected:

Connect

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

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

Firsthand observations

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