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Aidataparser MCP Server

Developer ToolsLow Risk10.0MCP RegistryRemote
Free

Server data from the Official MCP Registry

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

About

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

Remote endpoints: streamable-http: https://aidataparser.com/v1/mcp

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. Trust signals: trusted author (3/3 approved). 1 finding(s) downgraded by scanner intelligence.

6 tools verified · Open access · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

file_system

Check that this permission is expected for this type of plugin.

Shell Command Execution

Runs commands on your machine. Be cautious — only use if you trust this plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "io-github-shibley-aidataparser": {
      "url": "https://aidataparser.com/v1/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

AIDataParser MCP server

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.

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