Deduped AI use cases

At a glance

Runs where

On their server. What you send to it goes to them.

What you need

Nothing: it answered without a login

Tools

4 tools

Its own safety labels

4 read-only

Memory it takes

About 390 tokens of your AI's memory, just for its tool descriptions

Largest answer

About 9.4 KB in our test

Speed

Average answer in our test: 140 ms

Tokens are an estimate: the characters in its tool names, descriptions and inputs, divided by 4. The exact number depends on your AI model. Safety labels are what the server says about itself. From our latest test, 6 Nov 2026.

Is Deduped AI use cases MCP server safe?

• None of the hidden-instruction wordings we know were found in its 4 tool descriptions.
• Its error messages showed no secrets or internal details.
• All 4 of its tools are labeled read-only.
• Overall it scored 84/100 on 6 Nov 2026.

A test can only see what the server shows from outside, not what it does with your data behind the scenes. Connect servers from makers you trust.

What this test does not check

• Its source code and packages.
• What a tool quietly does behind the scenes, such as writing a file or calling another service.
• Instructions hidden inside live tool answers. We only look for those in tool descriptions.
• Hidden instructions worded in a way our list doesn't know yet.
• Tools that could change something. Those are read, never run.

What QAmcp can and can't see · How to tell if an MCP server is safe · Hidden instructions · Prompt injection

Known security advisories

It lists no public code, so there is nothing to look up in GitHub Security Advisories or OSV.dev. QAmcp tests how a server behaves. It does not scan source code.

What it can do

4 tools, in the server's own words.

Test results

Safe mode: only tools labeled read-only were run. How the test works

• !
  Ready for the newest MCP version

  1 warning

  • !Uses an older MCP version (2025-06-18). It works today, but it isn't on the July 2026 version (2026-07-28) yet.
  note
• !
  Every tool is described

  2 warnings

  • !search_use_cases: Inputs with no description: limit
  • !hot_repos: Inputs with no description: limit
  note
• !
  Bad inputs give a clean error

  1 warning

  • !hot_repos: Accepted wrong type for "limit" without complaining
  • and 4 more
  note
• ✓
  ConnectsConnected in 205 ms
  pass
• ✓
  Lists its toolsFound 4 tools
  pass
• ✓
  Tools are labeled safe or dangerousEvery tool has a safety label
  pass
• ✓
  No known hidden instructionsNone of the hidden-instruction wordings we know were found in tool descriptions. New wordings can get past this check.
  pass
• ✓
  Tools work with good inputs

  All good

  • ✓search_use_cases: Worked (300 ms)
  • ✓get_use_case: Answered with an error, probably because of our sample input: TypeError: id must look like repo-slug--use-case-slug (from search_use_cases)
  • ✓hot_repos: Worked (130 ms)
  • ✓today_news: Worked (70 ms)
  pass
• ✓
  Tools work togethersearch_use_cases → get_use_case: get_use_case found what search_use_cases returned (id = "addyosmani-agent-skills--spec-plan-build-a-feature-with-age…")
  pass
• ✓
  Fast enough

  All good

  • ✓Connecting took 205 ms
  • ✓Listing tools took 40 ms
  • ✓Average tool answer: 140 ms
  • ✓search_use_cases: Slowest tool: search_use_cases (300 ms)
  pass
• ✓
  No secrets leakedChecked 6 error messages: no secrets or internal details
  pass
• ✓
  Follows MCP best practices (not scored yet)Tool names, safety labels and tool list size follow the MCP guide
  pass

Test it yourself

Free and open source. Same checks, same score.

Show this score on GitHub

Free for every server in the directory. Paste this into your README: the badge shows the score from our latest test.

Score over time

• 6 Nov 202684

One test so far. New tests will show here.

Reviews

Coming soon: reviews from people who use Deduped AI use cases, signed in with GitHub, one per person. Reviews never change the score.