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olaverse-mcp

io.github.Olaverse-Labs/olaverse-mcp

Document extraction with calibrated confidence, decisions, language ID in 608 languages, diacritics.

Documentation

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.

ToolWhat it does
extract_documentA document (text, a JPEG/PNG photo or scan, or a PDF) to JSON shaped like your template, with a calibrated confidence for every field. Long documents are split, extracted in parallel and merged.
get_extraction_jobCollects a long-document result that's still running.
decideTyped questions about a message, ticket or record (yes/no, choice, score), with calibrated probabilities. 19 languages.
detect_languageThe language of a text, among 608 (built African-first, good on very short text).
restore_diacriticsPuts back tone marks, accents and Arabic vowel marks in 11 languages, including Yorùbá, Igbo, Hausa and Arabic.
generate_questionsSearch-style questions a passage answers, in the passage's own language (25 languages).

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" }
    }
  }
}

Hosted (no install). Olaverse also runs this server at https://mcp.olaverselab.com/mcp (streamable HTTP). Send your key with each request as Authorization: Bearer your-key. The hosted server takes documents as text, or as an image or pdf in base64; it doesn't read files or fetch URLs.

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

VariableDefault
OLAVERSE_API_KEYrequiredYour API key.
OLAVERSE_API_URLhttps://api.olaverselab.com
OLAVERSE_JOB_WAIT900Seconds a long-document extraction waits before handing back a job id for get_extraction_job.

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

PYPI
olaverse-mcp
Install Command
pip install olaverse-mcp
Runtime: uvx

Remote