How do I connect an AI agent to CoverCraft AI by Ambuj Kumar Tripathi?

Use the MCP streamable HTTP endpoint https://career-workspace-ambujsystems.vercel.app/api/mcp.

Catalog › io.github.Ambuj123-lab/covercraft-mcp

Is CoverCraft AI by Ambuj Kumar Tripathi reliable?

Reliable (measured) Yes. Faceabot measured CoverCraft AI by Ambuj Kumar Tripathi 22 times: 100% of checks succeeded, including the last 22 in a row (last check 2026-10-19 17:40 UTC). It also does the job: its real read-only task worked 22 of 22 times.

Last check: 2026-10-19 17:40 UTC · answered in 9719 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

Live Hugging Face model proofing, ATS resume scoring and career tools by Ambuj Kumar Tripathi

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

Connect your agent

{
  "mcpServers": {
    "covercraft-mcp": {
      "url": "https://career-workspace-ambujsystems.vercel.app/api/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.Ambuj123-lab/covercraft-mcp"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Does the job (tested) — Faceabot asked ats_readiness to do a small read-only task 22 time(s): 22 returned a real result, the last 22 in a row. Last result: ok in 4203 ms.

Sample input: {"letter_text":"hello world"}. 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 17:40 UTC	✅ ok	✅ done	9719 ms
2026-10-19 03:30 UTC	✅ ok	✅ done	7824 ms
2026-10-18 11:40 UTC	✅ ok	✅ done	6871 ms
2026-10-18 02:40 UTC	✅ ok	✅ done	6110 ms
2026-10-17 18:35 UTC	✅ ok	✅ done	6649 ms
2026-10-17 10:20 UTC	✅ ok	✅ done	7287 ms
2026-10-17 02:35 UTC	✅ ok	✅ done	5710 ms
2026-10-16 19:00 UTC	✅ ok	✅ done	8899 ms
2026-10-16 11:55 UTC	✅ ok	✅ done	6660 ms
2026-10-16 05:02 UTC	✅ ok	✅ done	6059 ms
2026-10-15 22:05 UTC	✅ ok	✅ done	6765 ms
2026-10-15 15:11 UTC	✅ ok	✅ done	7107 ms
2026-10-15 08:31 UTC	✅ ok	✅ done	4043 ms
2026-10-15 02:00 UTC	✅ ok	✅ done	5313 ms
2026-10-14 19:35 UTC	✅ ok	✅ done	8851 ms
2026-10-14 13:05 UTC	✅ ok	✅ done	4362 ms
2026-10-14 06:41 UTC	✅ ok	✅ done	8448 ms
2026-10-13 23:51 UTC	✅ ok	✅ done	8992 ms
2026-10-13 17:45 UTC	✅ ok	✅ done	9360 ms
2026-10-13 11:40 UTC	✅ ok	✅ done	10219 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.

Publisher of CoverCraft AI by Ambuj Kumar Tripathi?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.Ambuj123-lab/covercraft-mcp.svg)](https://faceabot.com/tools/io.github.Ambuj123-lab/covercraft-mcp)

Data in JSON: /api/catalog?id=io.github.Ambuj123-lab/covercraft-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

Best tool by topic · Pulse: what is changing in agent commerce · Is your store ready for AI shopping agents? · State of MCP (weekly) · MCP server doctor · Reliability data · Faceabot app · Faceabot → AI assistants · What AI agents cannot find yet · Add Faceabot to your AI · Badge for tool publishers · Help · Privacy · Terms