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Olaverse Lab

olaverse-labs/olaverse-mcp

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

tools
6
auth
Secret needed
transport
STDIO, HTTP
env var
1
last updated
Nov 6, 2026

Tools

6 tools

Public tool metadata for what this MCP can expose to an agent.

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.

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.

No parameter schema in public metadata yet.

get_extraction_jobCollects a long-document result that's still running.

Collects a long-document result that's still running.

No parameter schema in public metadata yet.

decideTyped questions about a message, ticket or record (yes/no, choice, score), with calibrated probabilities.

Typed questions about a message, ticket or record (yes/no, choice, score), with calibrated probabilities.

No parameter schema in public metadata yet.

detect_languageThe language of a text, among 608 (built African-first, good on very short text).

The language of a text, among 608 (built African-first, good on very short text).

No parameter schema in public metadata yet.

restore_diacriticsPuts back tone marks, accents and Arabic vowel marks in 11 languages, including Yorùbá, Igbo, Hausa and Arabic.

Puts back tone marks, accents and Arabic vowel marks in 11 languages, including Yorùbá, Igbo, Hausa and Arabic.

No parameter schema in public metadata yet.

generate_questionsSearch-style questions a passage answers, in the passage's own language (25 languages).

Search-style questions a passage answers, in the passage's own language (25 languages).

No parameter schema in public metadata yet.

Sponsors

Configuration

OLAVERSE_API_KEY*secret

Your Olaverse API key (console.olaverselab.com)

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


View the full README on GitHub

Details

Repository
github.com/olaverse-labs/olaverse-mcp
Website
www.olaverselab.com
Category
Documents & Knowledge
Package
olaverse-mcp
Transport
STDIO, HTTP
Auth
Required
Registry
MCP registry, active

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