INDIVIDUAL MCP TOOL

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.

aidataparser.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://aidataparser.com/v1/mcp

No auth detected

Connect to this endpoint to inspect the live schema for validate and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

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

Claude Code

.mcp.json

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

Claude Desktop

Settings → Connectors → Add custom connector

Name: aidataparser
Remote MCP URL: https://aidataparser.com/v1/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

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

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

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

Generic MCP

Client-specific MCP configuration

{
  "name": "aidataparser",
  "transport": "streamable-http",
  "url": "https://aidataparser.com/v1/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

parse_document — Extract clean, schema-guaranteed JSON from a PDF or image.
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.
infer_schema — Given one sample document's `text`, propose a reusable JSON Schema for that document type.
check_credits — Return the number of extraction credits remaining on the authenticated API key.
list_schemas — Return the built-in schema templates you can pass to parse_document as `schema_id` (invoice, receipt, resume, etc.