AIDataParser MCP Server

by shibley Your server? Claim it

answering

AIDataParser is answering right now. Last checked 2 min ago. It exposes 6 tools. Last commit 22 Sep 2026.

Extract schema-guaranteed JSON from PDFs, images and messy text. 50 free credits, no card.

Uptime history 17 hours of history

17 hours agonow

100.0%

Uptime 24h

60 of 60 checks

Tools

read from the server

310 ms

Response time

average over 24h

Stars

last commit 22 Sep 2026

Nothing serious here today

Today is the operative word: we check AIDataParser every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 2 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

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

~/Library/Application Support/Claude/claude_desktop_config.json

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

~/.codex/config.toml

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

.cursor/mcp.json

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

.vscode/mcp.json

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

Available tools 6

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

parse

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.

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.

credits

check_credits

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

infer

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.

schemas

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.

validate

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.

Endpoints

URL	Transport	State	Latency	Checked
https://aidataparser.com/v1/mcp	streamable-http	answering	346 ms	2 min ago

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AIDataParser — questions

Answers built from our own checks of this server.

What can AIDataParser do?

It exposes 6 tools, read directly from the server on our last check. Among them: check_credits, infer_schema, list_schemas, parse_document, parse_text, validate. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is AIDataParser working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 60 of 60 checks got a reply (100.0%), average response time 310 ms. The bar chart above shows every period we have measured.

How do I connect AIDataParser?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does AIDataParser need an API key?

No. AIDataParser completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 6 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is AIDataParser?

It answers our handshake in 310 ms on average, which is faster than 57% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is AIDataParser open source?

Yes — it is published under the MIT licence, written in JavaScript and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.