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Catalog › io.github.shibley/aidataparser

Is AIDataParser reliable?

Not measured yet Not measured yet. Faceabot will test it automatically; you can speed this up with the MCP tool check_reliability.

En français : Pas encore mesuré. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

PDFs, images and messy text to schema-guaranteed JSON. try_parse runs a real extraction, no key.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.2.0 · publisher website
Connect your agent
{
  "mcpServers": {
    "aidataparser": {
      "url": "https://aidataparser.com/v1/mcp"
    }
  }
}
Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.shibley/aidataparser"} on https://faceabot.com/api/mcp.
Does it actually do the job?

Not tested with a real task yet. Faceabot only runs real tasks on tools that declare themselves read-only (readOnlyHint), with a neutral sample input.

Faceabot measurements

No measurement yet.

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

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Publisher of AIDataParser?

Show your measured reliability on your README or website:

Faceabot reliability badge for AIDataParser

[![Measured by Faceabot](https://faceabot.com/badge/io.github.shibley/aidataparser.svg)](https://faceabot.com/tools/io.github.shibley/aidataparser)
Data in JSON: /api/catalog?id=io.github.shibley/aidataparser · Stop probes: POST /api/reliability/opt-out

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