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MCP serverio.github.shibley/aidataparser

PDFs, images and messy text to schema-guaranteed JSON.
Read morePDFs, images and messy text to schema-guaranteed JSON. try_parse runs a real extraction, no key.
UNRATEDActivestreamable-httpaidataparser.com

Overview

Score?
UNRATED 0.587
of what a free look can see, on 14 looks
Looks
14
last 52 min ago
Tools
8
changed 5 days ago

More info

URL
aidataparser.com/v1/mcp
streamable-http
Says it is
aidataparser 1.0.0
protocol 2025-06-18
In the record since
11 days ago

Among servers18,413 with a card

0median 0.606 · this server 0.587 · highest on record 0.8561

Toolsfrom sha256:e92f905211…e00268 · +1 −0 5 days ago

The tools this server lists, read out of the definition it returned
ToolSchema
check_credits
Return the number of extraction credits remaining on the authenticated API key. Free — does not consume a credit.
input · no output
create_api_key
Start here if you do not have an AIDataParser API key. Provide the user's `email` and receive a live adp_live_ API key with 50 free credits — no card, no signup form. Configure it
input · no output
infer_schema
Given one sample document's `text`, propose a reusable JSON Schema for that document type. Use this when no built-in schema_id fits: infer a schema once, review it, then reuse it a
input · no output
list_schemas
Return the built-in schema templates you can pass to parse_document as `schema_id` (invoice, receipt, resume, etc.), each with its id and the fields it extracts. Free — does not co
input · no output
parse_document
Extract clean, schema-guaranteed JSON from a PDF or image. Provide the document via `url` or `base64`. Pass an optional JSON `schema` to constrain the output shape, and `instructio
input · no output
parse_text
Extract clean, schema-guaranteed JSON from raw/messy text you already have — scraped web content, email bodies, chat logs, OCR output, or pasted tables. Pass the text in `text`. Us
input · no output
try_parse added
Run a REAL extraction with no API key, no email and no signup, so you can see the output shape before committing to anything. Pass up to 4000 characters of messy text in `text` (an
input · no output
validate
Check whether a JSON object conforms to a JSON `schema` (or a built-in `schema_id` template) and get back a valid flag plus per-field errors. Use this to verify data you already ho
input · no output
Verify it yourselfnpx teppi-check https://aidataparser.com/v1/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M36D94DJF1Q91S8AJDGR28YZ