AIDataParser

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io.github.shibley/aidataparserv0.2.0

PDFs, images and messy text to schema-guaranteed JSON. try_parse runs a real extraction, no key.

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Try it

Call this server's tools from your browser. Nothing to install.

https://aidataparser.com/v1/mcp

Requests go through mcptry because browsers can't call most MCP servers directly. Header values are sent to the server for that request only and are never stored or logged.

Tool list from our last check. Connect live to refresh it.

buy_credits

Get a Stripe checkout link for a one-time credit pack, to hand to the user. Packs: `starter` $9 for 500 credits, `growth` $29 for 2,000 credits, `scale` $99 for 10,000 credits. Credits never expire; 1 credit per document. If this server has an API key set, the credits land on that key's account. Without a key, pass the user's `email` (ask them; do not invent one) — the page after payment shows their new API key. Creating the link charges nothing; the user pays on Stripe's page.

packstring

Which pack. Defaults to starter.

emailstring

The user's email. Required only when no API key is set on this server; ignored when one is.

This tool isn't marked read-only, so it may change something on the server or in an account you connected.

I understand, run it anyway

Tools (9)

buy_credits

Argument	Type	Description
pack	string	Which pack. Defaults to starter.
email	string	The user's email. Required only when no API key is set on this server; ignored when one is.

Input schema (JSON)

{
  "type": "object",
  "properties": {
    "pack": {
      "enum": [
        "starter",
        "growth",
        "scale"
      ],
      "type": "string",
      "description": "Which pack. Defaults to starter."
    },
    "email": {
      "type": "string",
      "description": "The user's email. Required only when no API key is set on this server; ignored when one is."
    }
  }
}

check_credits

Return the number of extraction credits remaining on the authenticated API key. Free — does not consume a credit.

read-only

No arguments.

Input schema (JSON)

{
  "type": "object",
  "properties": {}
}

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 on this MCP server as `Authorization: Bearer <api_key>` to unlock parse_document, parse_text and infer_schema. The key is returned ONCE and is never shown again, so surface it to the user and store it. Ask the user for their address; do not invent one. Free — does not consume a credit.

Argument	Type	Description
email*	string	The user's email address. The account and its free credits belong to this address; an address that already has an account is refused rather than issued a second key.

Input schema (JSON)

{
  "type": "object",
  "required": [
    "email"
  ],
  "properties": {
    "email": {
      "type": "string",
      "description": "The user's email address. The account and its free credits belong to this address; an address that already has an account is refused rather than issued a second key."
    }
  }
}

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 as `schema` on parse_document / parse_text across many documents for consistent output. Returns the JSON Schema plus a flat field list and an inferred doc_type. Costs 1 credit per successful call.

Argument	Type	Description
text*	string	A single representative sample of the document type, as text.
doc_type	string	Optional hint for what kind of document this is, e.g. "purchase order", "lab report".
instructions	string	Optional guidance on which fields matter or how to shape the schema.

Input schema (JSON)

{
  "type": "object",
  "required": [
    "text"
  ],
  "properties": {
    "text": {
      "type": "string",
      "description": "A single representative sample of the document type, as text."
    },
    "doc_type": {
      "type": "string",
      "description": "Optional hint for what kind of document this is, e.g. \"purchase order\", \"lab report\"."
    },
    "instructions": {
      "type": "string",
      "description": "Optional guidance on which fields matter or how to shape the schema."
    }
  }
}

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 consume a credit and needs no API key.

read-only

No arguments.

Input schema (JSON)

{
  "type": "object",
  "properties": {}
}

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 `instructions` to guide extraction. Returns the extracted data plus a confidence score and a review_needed flag. Costs 1 credit per successful call.

Argument	Type	Description
url	string	Public http(s) URL of the PDF or image to parse.
base64	string	Base64-encoded document bytes (alternative to `url`). Provide `media_type` alongside it.
redact	boolean	When true, PII (emails, SSNs, card numbers, phones, etc.) is masked in the output before it leaves the server.
schema	object	Optional JSON Schema describing the exact output shape you want. When provided, the returned `data` conforms to it.
schema_id	string	Optional named template to use instead of a hand-written schema, e.g. "invoice", "receipt", "resume". Call the list_schemas tool for the full set. Ignored when `schema` is provided.
media_type	string	MIME type for `base64` input, e.g. application/pdf, image/png, image/jpeg.
instructions	string	Optional natural-language guidance for what to extract.

Input schema (JSON)

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`. Use this instead of parse_document when you don't have a file. Optional JSON `schema` (or `schema_id`) constrains the output shape and `instructions` guides extraction. Returns the extracted data plus a confidence score and a review_needed flag. Costs 1 credit per successful call.

Argument	Type	Description
text*	string	The raw text to extract structured data from.
redact	boolean	When true, PII (emails, SSNs, card numbers, phones, etc.) is masked in the output before it leaves the server.
schema	object	Optional JSON Schema describing the exact output shape you want. When provided, the returned `data` conforms to it.
schema_id	string	Optional named template to use instead of a hand-written schema, e.g. "invoice", "receipt", "resume". Call the list_schemas tool for the full set. Ignored when `schema` is provided.
instructions	string	Optional natural-language guidance for what to extract.

Input schema (JSON)

{
  "type": "object",
  "required": [
    "text"
  ],
  "properties": {
    "text": {
      "type": "string",
      "description": "The raw text to extract structured data from."
    },
    "redact": {
      "type": "boolean",
      "description": "When true, PII (emails, SSNs, card numbers, phones, etc.) is masked in the output before it leaves the server."
    },
    "schema": {
      "type": "object",
      "description": "Optional JSON Schema describing the exact output shape you want. When provided, the returned `data` conforms to it."
    },
    "schema_id": {
      "type": "string",
      "description": "Optional named template to use instead of a hand-written schema, e.g. \"invoice\", \"receipt\", \"resume\". Call the list_schemas tool for the full set. Ignored when `schema` is provided."
    },
    "instructions": {
      "type": "string",
      "description": "Optional natural-language guidance for what to extract."
    }
  }
}

try_parse

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 invoice, a receipt, a resume, scraped HTML, an email body) and optionally a `schema` or `schema_id` to constrain the result. Returns the same structured data, confidence and review_needed flag the paid tools return. Limited to 3 calls per caller per day — for real volume call create_api_key for 50 free credits, then use parse_text or parse_document.

Argument	Type	Description
text*	string	The raw text to extract structured data from, up to 4000 characters. Send a representative excerpt rather than a whole corpus.
schema	object	Optional JSON Schema describing the exact output shape you want. When provided, the returned `data` conforms to it.
schema_id	string	Optional named template to use instead of a hand-written schema, e.g. "invoice", "receipt", "resume". Call list_schemas for the full set. Ignored when `schema` is provided.
instructions	string	Optional natural-language guidance for what to extract.

Input schema (JSON)

{
  "type": "object",
  "required": [
    "text"
  ],
  "properties": {
    "text": {
      "type": "string",
      "description": "The raw text to extract structured data from, up to 4000 characters. Send a representative excerpt rather than a whole corpus."
    },
    "schema": {
      "type": "object",
      "description": "Optional JSON Schema describing the exact output shape you want. When provided, the returned `data` conforms to it."
    },
    "schema_id": {
      "type": "string",
      "description": "Optional named template to use instead of a hand-written schema, e.g. \"invoice\", \"receipt\", \"resume\". Call list_schemas for the full set. Ignored when `schema` is provided."
    },
    "instructions": {
      "type": "string",
      "description": "Optional natural-language guidance for what to extract."
    }
  }
}

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 hold — a prior parse result, your own output, or an upstream feed — before acting on it or spending a credit. Deterministic, free, and needs no API key.

read-only

Argument	Type	Description
data*	any	The JSON value to validate.
schema	object	JSON Schema to validate against. Takes precedence over schema_id.
schema_id	string	Built-in template id to validate against instead of a hand-written schema (invoice, receipt, resume, etc.). Call list_schemas for the full set.

Input schema (JSON)

{
  "type": "object",
  "required": [
    "data"
  ],
  "properties": {
    "data": {
      "description": "The JSON value to validate."
    },
    "schema": {
      "type": "object",
      "description": "JSON Schema to validate against. Takes precedence over schema_id."
    },
    "schema_id": {
      "type": "string",
      "description": "Built-in template id to validate against instead of a hand-written schema (invoice, receipt, resume, etc.). Call list_schemas for the full set."
    }
  }
}