How do I connect an AI agent to DokuTrak?

Use the MCP streamable HTTP endpoint https://app.dokutrak.com/api/mcp.

Catalog › io.github.Crackx17/dokutrak-mcp

Is DokuTrak reliable?

Reliable (measured) Yes. Faceabot measured DokuTrak 15 times: 100% of checks succeeded, including the last 15 in a row (last check 2026-10-19 11:01 UTC).

Last check: 2026-10-19 11:01 UTC · answered in 8181 ms · remote (no install)

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

What it does

Let your agent chase the documents: create, chase, read and collect DokuTrak Document Requests.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.2 · publisher website

Connect your agent

{
  "mcpServers": {
    "dokutrak-mcp": {
      "url": "https://app.dokutrak.com/api/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.Crackx17/dokutrak-mcp"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Real task being tested — Faceabot asked get_request to do a small read-only task 1 time(s): 0 returned a real result. Last result: tool_error (its schema declares no required input, so Faceabot sent {}; the tool answered with an error, so it probably needs inputs its schema does not declare) in 1984 ms.

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-19 11:01 UTC	✅ ok	❌ auth_required	8181 ms
2026-10-18 18:20 UTC	✅ ok	❌ auth_required	7870 ms
2026-10-18 06:10 UTC	✅ ok	❌ auth_required	8466 ms
2026-10-17 22:20 UTC	✅ ok	❌ auth_required	6170 ms
2026-10-17 13:55 UTC	✅ ok	❌ auth_required	7431 ms
2026-10-17 06:05 UTC	✅ ok	❌ auth_required	6885 ms
2026-10-16 22:20 UTC	✅ ok	❌ auth_required	5720 ms
2026-10-16 15:10 UTC	✅ ok	❌ auth_required	7129 ms
2026-10-16 08:11 UTC	✅ ok	❌ auth_required	8876 ms
2026-10-16 01:15 UTC	✅ ok	❌ auth_required	8163 ms
2026-10-15 18:21 UTC	✅ ok	❌ auth_required	8968 ms
2026-10-15 11:36 UTC	✅ ok	❌ auth_required	6029 ms
2026-10-15 05:00 UTC	✅ ok	❌ auth_required	3466 ms
2026-10-14 22:30 UTC	✅ ok	❌ auth_required	7820 ms
2026-10-14 16:00 UTC	✅ ok	❌ tool_error	8566 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 DokuTrak →

Publisher of DokuTrak?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.Crackx17/dokutrak-mcp.svg)](https://faceabot.com/tools/io.github.Crackx17/dokutrak-mcp)

Data in JSON: /api/catalog?id=io.github.Crackx17/dokutrak-mcp · 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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