Olaverse Lab

io.github.Olaverse-Labs/olaverse-mcpVersion 0.3.1

Document extraction, decisions, language ID (608), diacritics, questions in 324 languages.

Status

Responds356 msNov 14, 2026, 14:40 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 14:40 UTC
Latency: 356 ms
Remotes responding: 1 of 1
Sign-in: API key
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 22:14 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP

https://mcp.olaverselab.com/mcpResponds356 msNov 14, 2026, 14:40 UTC

No sign-in

Claude Code

claude mcp add --transport http olaverse-mcp https://mcp.olaverselab.com/mcp --header 'Authorization: Bearer <YOUR_TOKEN>'

Replace <YOUR_TOKEN> before running.

Claude Desktop and claude.ai

Settings > Connectors > Add custom connector
Name: olaverse-mcp
Remote MCP server URL: https://mcp.olaverselab.com/mcp
This server expects the header Authorization.

Cursor

{
  "mcpServers": {
    "olaverse-mcp": {
      "url": "https://mcp.olaverselab.com/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_TOKEN>"
      }
    }
  }
}

Replace <YOUR_TOKEN> before running.

VS Code

code --add-mcp '{"name":"olaverse-mcp","type":"http","url":"https://mcp.olaverselab.com/mcp","headers":{"Authorization":"Bearer <YOUR_TOKEN>"}}'

Replace <YOUR_TOKEN> before running.

Streamable HTTP

pypi: olaverse-mcp 0.3.1

Package only

PyPI (uvx)

claude mcp add olaverse-mcp -e 'OLAVERSE_API_KEY=<YOUR_OLAVERSE_API_KEY>' -- uvx olaverse-mcp==0.3.1

Replace <YOUR_OLAVERSE_API_KEY> before running.

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Tools

6 tools

Tools of Olaverse Lab
	Description		Read-only	Idempotent	Open world
`decide`Answer typed questions about a message, ticket, record or form, with a calibrated probability for each answer. state: the thing to decide about: a string (e.g. a customer message) or a JSON object (a record). questions: {question_id: {...}}, each one of: {"type": "noul", "instructions": "The customer is asking for a refund."} -> probability it's true {"type": "choice", "instructions": "Which team?", "criteria": {"billing": "payments", "delivery": "orders"}} {"type": "score", "instructions": "How urgent?", "criteria": ["can wait", "today", "immediately"]} Works in 19 languages, including English, Pidgin, Hausa, Yorùbá, Igbo, Swahili and Arabic.	Answer typed questions about a message, ticket, record or form, with a calibrated probability for each answer. state: the thing to decide about: a string (e.g. a customer message) or a JSON object (a record). questions: {question_id: {...}}, each one of: {"type": "noul", "instructions": "The customer is asking for a refund."} -> probability it's true {"type": "choice", "instructions": "Which team?", "criteria": {"billing": "payments", "delivery": "orders"}} {"type": "score", "instructions": "How urgent?", "criteria": ["can wait", "today", "immediately"]} Works in 19 languages, including English, Pidgin, Hausa, Yorùbá, Igbo, Swahili and Arabic.	Not declared	Not declared	Not declared	Not declared
`detect_language`Identify the language of a text among 608 languages (built African-first; good on very short text). mode: "traffic" (user messages and chat; favours languages people actually use) or "coverage" (all languages equal, for building corpora). Returns the ISO 639-3 code, script, name, confidence and runners-up.	Identify the language of a text among 608 languages (built African-first; good on very short text). mode: "traffic" (user messages and chat; favours languages people actually use) or "coverage" (all languages equal, for building corpora). Returns the ISO 639-3 code, script, name, confidence and runners-up.	Not declared	Not declared	Not declared	Not declared
`extract_document`Turn a document into JSON shaped like `template`, with a calibrated confidence (0-1) for every field. template: the shape of the answer; each leaf names a type: "verbatim-string" (copied exactly), "string", "number", "integer", "date" (YYYY-MM-DD), "date-time", "boolean", ["a", "b"] (pick one), [["a", "b"]] (pick any), ["string"] (a list), or [{...}] (a list of objects, e.g. line items). Example: {"merchant": "verbatim-string", "total": "number", "date": "date", "items": [{"name": "verbatim-string", "price": "number"}]} Give the document as exactly one of: text: the document as text. image: a JPEG or PNG, base64 or a data URL (a photo, scan or screenshot of one page). pdf: a PDF with a text layer, base64. file_path: a JPEG/PNG, PDF or text file on this machine (local server only). instructions: optional guidance, e.g. "dates are day/month/year" or "amounts in kobo". Long documents (over 60,000 characters) are split into parts, extracted in parallel and merged; that can take minutes. Missing values come back as null. Treat fields with confidence below about 0.95 as needing a check.	Turn a document into JSON shaped like `template`, with a calibrated confidence (0-1) for every field. template: the shape of the answer; each leaf names a type: "verbatim-string" (copied exactly), "string", "number", "integer", "date" (YYYY-MM-DD), "date-time", "boolean", ["a", "b"] (pick one), [["a", "b"]] (pick any), ["string"] (a list), or [{...}] (a list of objects, e.g. line items). Example: {"merchant": "verbatim-string", "total": "number", "date": "date", "items": [{"name": "verbatim-string", "price": "number"}]} Give the document as exactly one of: text: the document as text. image: a JPEG or PNG, base64 or a data URL (a photo, scan or screenshot of one page). pdf: a PDF with a text layer, base64. file_path: a JPEG/PNG, PDF or text file on this machine (local server only). instructions: optional guidance, e.g. "dates are day/month/year" or "amounts in kobo". Long documents (over 60,000 characters) are split into parts, extracted in parallel and merged; that can take minutes. Missing values come back as null. Treat fields with confidence below about 0.95 as needing a check.	Not declared	Not declared	Not declared	Not declared
`generate_questions`Write n natural, search-style questions that a passage answers, in the passage's own language (25 languages). Useful for FAQs, study cards and search or RAG training data. passage: up to 8,000 characters.	Write n natural, search-style questions that a passage answers, in the passage's own language (25 languages). Useful for FAQs, study cards and search or RAG training data. passage: up to 8,000 characters.	Not declared	Not declared	Not declared	Not declared
`get_extraction_job`The result of a long-document extraction job that extract_document left running (by its id, exj_...).	The result of a long-document extraction job that extract_document left running (by its id, exj_...).	Not declared	Not declared	Not declared	Not declared
`restore_diacritics`Put back diacritics, tone marks or Arabic vowel marks in text typed without them. language: yor (Yorùbá), ibo (Igbo), hau (Hausa), vie, pol, tur, por, spa, fra, ita or ara (Arabic). Example: "se eranko naa si gbo o?" (yor) -> "ṣé ẹranko náà sì gbọ́ ọ?"	Put back diacritics, tone marks or Arabic vowel marks in text typed without them. language: yor (Yorùbá), ibo (Igbo), hau (Hausa), vie, pol, tur, por, spa, fra, ita or ara (Arabic). Example: "se eranko naa si gbo o?" (yor) -> "ṣé ẹranko náà sì gbọ́ ọ?"	Not declared	Not declared	Not declared	Not declared

Details

Registry status: Active
Published: Nov 15, 2026
Updated: Nov 15, 2026
Website: https://www.olaverselab.com/⁠ (opens in a new tab)
Repository: https://github.com/Olaverse-Labs/olaverse-mcp⁠ (opens in a new tab)
Categories (suggested): DocumentsSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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