What are reliable alternatives to filedone?

Measured by Faceabot as working: Razi Document Tools, pdf-split-merge-compress, SmartPDF.

How do I connect an AI agent to filedone?

Use the MCP streamable HTTP endpoint https://api.filedone.ai/mcp.

Catalog › ai.filedone/filedone

Is filedone reliable?

Private (key required) filedone answers but requires credentials, so Faceabot cannot test it anonymously. It is not counted as failing.

Last check: 2026-10-16 01:31 UTC · answered in 3610 ms · remote (no install)

Proven alternatives that work right now

Razi Document Tools Reliable (measured) · 100%
Document processing over MCP: merge, split and compress PDFs, run OCR, extract document text. · https://www.razi.pro/api/mcp/documents

pdf-split-merge-compress Reliable (measured) · 100%
Split, merge and compress PDF files locally - private by design, no uploads. · https://mcp.zovo.one/mcp/pdf-split-merge-compress

SmartPDF Reliable (measured) · 100%
24 PDF tools: convert to and from Office and JPG, compress, merge, split, OCR, sign, watermark · https://mcp.smartpdf.ru/mcp

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…

En français : Accès privé (clé requise). Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Merge, split, compress, OCR and translate PDFs, pull tables into Excel, and edit PDFs and photos.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "filedone": {
      "url": "https://api.filedone.ai/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"ai.filedone/filedone"} 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

When	Answers	Real task	Latency
2026-10-16 01:31 UTC	❌ auth_required		3610 ms

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.

Find tools similar to filedone →

Publisher of filedone?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/ai.filedone/filedone.svg)](https://faceabot.com/tools/ai.filedone/filedone)

Data in JSON: /api/catalog?id=ai.filedone/filedone · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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