mcpField
O
Olaverse Lab

Olaverse Lab

Remote
olaverselab.comAI & Agents0Updated 4d ago

About Olaverse Lab

Olaverse Lab provides task-specific language and document-processing tools for agents, with models strongest on English and African-language text. It supports structured extraction with field-level confidence, classification, language detection, diacritic restoration, and question generation.

Key features

  1. 01Template-shaped document extraction
  2. 02Confidence scores for extracted fields
  3. 03Typed classification in 19 languages
  4. 04Language detection across 608 languages
  5. 05Diacritic restoration in 11 languages
  6. 06Question generation in 25 languages

Use cases

  1. 01Extract structured fields from documents
  2. 02Classify messages, tickets, or records
  3. 03Identify the language of short text
  4. 04Restore omitted marks in text

MCP support

Exposes Olaverse Lab API operations as tools for MCP clients. Available as a locally launched server or a hosted Streamable HTTP endpoint.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://mcp.olaverselab.com/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

All endpoints
Streamable HTTPhttps://mcp.olaverselab.com/mcpAuth required
Packages
pypiolaverse-mcp0.2.1

Tools

Details

From the project README

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

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.