Olaverse MCP server

Olaverse Lab's API as tools for AI agents: Claude, Cursor and any other MCP client. The models are small, task-specific and strongest on English and African-language text.

Set up

You need an Olaverse API key: create one at console.olaverselab.com (new accounts get $1 of free credit). Calls are billed to your key at the usual prices.

The server runs with uv (uvx downloads and runs it).

Claude Code

claude mcp add olaverse --env OLAVERSE_API_KEY=your-key -- uvx olaverse-mcp

Claude Desktop, Cursor and others (the mcpServers block of the client's MCP config file)

{
  "mcpServers": {
    "olaverse": {
      "command": "uvx",
      "args": ["olaverse-mcp"],
      "env": { "OLAVERSE_API_KEY": "your-key" }
    }
  }
}

Use it

Ask in plain words, and the agent picks the tool:

• "Extract the merchant, date, total and line items from ~/Downloads/receipt.jpg."
• "Is this customer message asking for a refund, and how urgent is it? «Ẹ jọ̀ọ́, wọ́n ti yọ owó lẹ́ẹ̀mejì…»"
• "Which language is 'Mo fẹ́ lọ sí ọjà'?"
• "Add the tone marks back: se eranko naa si gbo o?"

Confidence. extract_document returns a confidence for every field. It's calibrated: fields at 0.95 and above are right about 95% of the time on the documents it was built for. Check a threshold on a sample of your own documents before you automate on it.

Settings

Scanned PDFs (no text layer) aren't read directly: send their pages as JPEG or PNG images.

Licence

Apache-2.0.

mcp-name: io.github.Olaverse-Labs/olaverse-mcp