MCP server

AIDataParser

io.github.shibley/aidataparser

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

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

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

9

Token cost

About 2,213 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http aidataparser https://aidataparser.com/v1/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.aidataparser]
url = "https://aidataparser.com/v1/mcp"

Gemini CLI

{"mcpServers":{"aidataparser":{"httpUrl":"https://aidataparser.com/v1/mcp"}}}

Cursor

{"mcpServers":{"aidataparser":{"url":"https://aidataparser.com/v1/mcp"}}}

VS Code

{"servers":{"aidataparser":{"type":"http","url":"https://aidataparser.com/v1/mcp"}}}

Antigravity

agy mcp add aidataparser https://aidataparser.com/v1/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"aidataparser","server_url":"https://aidataparser.com/v1/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"aidataparser","server_url":"https://aidataparser.com/v1/mcp"}

Tools

• buy_credits Moves money · ~233 tokens
  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. Wit
• check_credits ~58 tokens
  Return the number of extraction credits remaining on the authenticated API key. Free — does not consume a credit.
• create_api_key Changes accounts · ~225 tokens
  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 i
• infer_schema ~240 tokens
  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 fl
• list_schemas ~88 tokens
  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.
• parse_document ~401 tokens
  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
• parse_text ~373 tokens
  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 outp
• try_parse ~370 tokens
  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 re
• validate ~225 tokens
  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. Deterministi

Browse

• GitHub tools
• Stripe tools
• PDF tools
• OCR (text from images)
• Email
• Payments

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