AIDataParser is listed as active in the registry but did not answer our last check. It exposes 9 tools. Last commit 30 Sep 2026.
PDFs, images and messy text to schema-guaranteed JSON. try_parse runs a real extraction, no key.
Uptime history
47 days of history · worst day 0%
47 days agonow
0.0%
Uptime 24h
0 of 91 checks
9
Tools
read from the server
77 ms
Response time
average over 24h
0
Stars
last commit 30 Sep 2026
What changed 3
Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 24 September 2026. No other catalogue keeps this.
7 Oct
a tool appeared
buy_credits
29 Sep
a tool appeared
try_parse
24 Sep
a tool appeared
create_api_key
AIDataParser does not always answer
Over the last week it answered 16.2% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.
Connect this server
Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 14 min ago.
run in your terminal
claude mcp add aidataparser --transport http https://aidataparser.com/v1/mcpSettings → Connectors → Add custom connector, then paste this address
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
{
"servers": {
"aidataparser": {
"type": "http",
"url": "https://aidataparser.com/v1/mcp"
}
}
}Available tools 9
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.
api
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.
buy
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.
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.
try
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.
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 | 77 ms | 14 min ago |
Alternatives to AIDataParser
same job, measured the same wayParseflow
by libres-coder
PDF parsing server with text extraction, metadata, search, images, and TOC via MCP
PDF Reader
by xvvln
MCP server for extracting text, images, tables, links, annotations, and metadata from PDF files.
Airparser
by airparser
Extract structured data from invoices, receipts, PDFs, scans and emails into clean JSON.
Mindlm MCP
by qingchejun
Turn text, web pages and PDFs into interactive mind maps. MCP server + CLI, no API key.
Talonic
by talonicdev
Extract structured, schema-validated data from PDFs, scans, images, spreadsheets, and forms.
S
Skillforge Render API
by skillforge99
Screenshot, PDF, OG-image, and page extraction (markdown/JSON) over MCP. Bearer key or x402.
DB2TOON MCP
by kamil5b
Read-only SQL database and plain-text SQL dump schema extraction to compact TOON for MCP clients.
Tooldash MCP
by lassib999
Offline PDF and text tools: merge, extract pages, inspect, clean text. No upload, no API key.
AIDataParser — questions
Answers built from our own checks of this server.
What can AIDataParser do?
It exposes 9 tools, read directly from the server on our last check. Among them: buy_credits, check_credits, create_api_key, infer_schema, list_schemas, parse_document and 3 more. 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 0 of 91 checks got a reply (0.0%), average response time 77 ms. The bar chart above shows every period we have measured.
The registry lists AIDataParser as active — why does it not respond?
The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.
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 in the form 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 9 of them are readable on this page. This is what we observed, not what the docs claim.
Is AIDataParser open source?
The code is open source: it is published under the MIT licence, written in JavaScript and 0 stars on GitHub. The licence covers the code in the repository, not the hosted service at aidataparser.com, which runs on its operator's own terms.