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Document extraction with calibrated confidence, decisions, language ID in 608 languages, diacritics.
About
Document extraction with calibrated confidence, decisions, language ID in 608 languages, diacritics.
Remote endpoints: streamable-http: https://mcp.olaverselab.com/mcp
Security Report
This is a legitimate client for the Olaverse API that sends the user's API key only to the Olaverse host and uses permissions that fit its document-processing purpose. The main concern is that in local mode file_path can read any file the user can access and send its contents to the remote API, so a prompt-injected agent could exfiltrate sensitive local files. Lower-severity items are the overridable API URL that receives the bearer key and unbounded whole-file reads. Supply chain analysis found 5 known vulnerabilities in dependencies (0 critical, 5 high severity). Package verification found 1 issue.
4 files analyzed · 11 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: OLAVERSE_API_KEY
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub 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.
| 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
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