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
- 01Template-shaped document extraction
- 02Confidence scores for extracted fields
- 03Typed classification in 19 languages
- 04Language detection across 608 languages
- 05Diacritic restoration in 11 languages
- 06Question generation in 25 languages
Use cases
- 01Extract structured fields from documents
- 02Classify messages, tickets, or records
- 03Identify the language of short text
- 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.
https://mcp.olaverselab.com/mcpclaude mcp add --transport http olaverse-labs-olaverse https://mcp.olaverselab.com/mcp{"mcpServers":{"olaverse-labs-olaverse":{"type":"http","url":"https://mcp.olaverselab.com/mcp"}}}Open in Cursor{"servers":{"olaverse-labs-olaverse":{"type":"http","url":"https://mcp.olaverselab.com/mcp"}}}Open in VS Code{"mcpServers":{"olaverse-labs-olaverse":{"type":"http","url":"https://mcp.olaverselab.com/mcp"}}}{"mcpServers":{"olaverse-labs-olaverse":{"serverUrl":"https://mcp.olaverselab.com/mcp"}}}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.
https://mcp.olaverselab.com/mcpAuth requiredTools
Details
From the project READMEOlaverse 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.
| Tool | What it does |
|---|---|
extract_document | A 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_job | Collects a long-document result that's still running. |
decide | Typed questions about a message, ticket or record (yes/no, choice, score), with calibrated probabilities. 19 languages. |
detect_language | The language of a text, among 608 (built African-first, good on very short text). |
restore_diacritics | Puts back tone marks, accents and Arabic vowel marks in 11 languages, including Yorùbá, Igbo, Hausa and Arabic. |
generate_questions | Search-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
| Variable | Default | |
|---|---|---|
OLAVERSE_API_KEY | required | Your API key. |
OLAVERSE_API_URL | https://api.olaverselab.com | |
OLAVERSE_JOB_WAIT | 900 | Seconds 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
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.