AIDataParser MCP server

MCP serverEverything else

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

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use AIDataParser MCP server

Install AIDataParser MCP server

The server’s own address, for the clients that take one directly. Or connect ahel onceand every client you use reads it from one address, with the account kept on ahel rather than in each client’s config.

  • Claude Code

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

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://aidataparser.com/v1/mcp

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=aidataparser-mcp-server&config=eyJ1cmwiOiJodHRwczovL2FpZGF0YXBhcnNlci5jb20vdjEvbWNwIn0=

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://aidataparser.com/v1/mcp

    In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.

  • Codex

    codex mcp add aidataparser-mcp-server --url 'https://aidataparser.com/v1/mcp'

    Run it once, then sign in with codex mcp login aidataparser-mcp-server if the server asks for an account.

From the project's README

As published by shibley/aidataparser-mcp-server in README.md.

The official Model Context Protocol registry record for AIDataParser — a credit-based data-extraction API that turns PDFs, images and messy text into schema-guaranteed JSON.

There is no server code in this repo. The MCP server is hosted: it lives at https://aidataparser.com/v1/mcp and speaks JSON-RPC 2.0 over Streamable HTTP. This repo holds the server.json that is the source of our record in registry.modelcontextprotocol.io, the canonical upstream every downstream MCP catalog syncs from.

Add it to your client

{
  "mcpServers": {
    "aidataparser": {
      "type": "http",
      "url": "https://aidataparser.com/v1/mcp",
      "headers": { "Authorization": "Bearer adp_live_..." }
    }
  }
}

Get a key (50 free credits, no card):

curl -X POST https://aidataparser.com/v1/keys \
  -H 'Content-Type: application/json' \
  -d '{"email":"you@example.com"}'

list_schemas and validate are free and need no key, so a client can add the server and get something useful back before signing up.

Tools

ToolCostWhat it does
parse_document1 creditPDF or image (url or base64) → JSON matching your schema
parse_text1 creditRaw/messy text → JSON matching your schema
infer_schema1 creditOne sample → a reusable JSON Schema
validatefree, no keyCheck a JSON value against a schema
check_creditsfreeCredits remaining on the key
list_schemasfree, no keyBuilt-in templates (invoice, receipt, resume, …)

Credit packs: https://aidataparser.com/pricing

Publishing

.github/workflows/publish-mcp.yml publishes on a push to main using GitHub OIDC — no secrets. Bump version in server.json to cut a release; a push that does not change the version is a no-op.

Before it publishes, the workflow runs two gates:

  • npm test — static checks on server.json (validate-server-json.mjs). Each rule maps to a real failure from a sibling repo, e.g. the registry's 100-char description cap that 422'd aisotools-mcp-server v0.1.0.
  • npm run check:remote — a live initialize + tools/list handshake against the URL about to be advertised. A registry record pointing at a dead endpoint is worse than no record.

Both are runnable locally.

Advanced
Delivery
aidataparser MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
Catalog kind
mcp-server
Gateway key
io-github-shibley-aidataparser
Source
github.com/shibley/aidataparser-mcp-server
Hosted endpoint
https://aidataparser.com/v1/mcp