MCP serverio.github.shibley/aidataparser
PDFs, images and messy text to schema-guaranteed JSON.
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PDFs, images and messy text to schema-guaranteed JSON. try_parse runs a real extraction, no key.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
| Tool | Schema |
|---|---|
| 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 yourself
npx teppi-check https://aidataparser.com/v1/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M36D94DJF1Q91S8AJDGR28YZ