AI Recommendation Check MCP server

• check_ai_recommendationFree

  Use this when a business owner asks whether ChatGPT or AI recommends their business, whether AI tools like ChatGPT or Perplexity mention or suggest their business, why AI recommends their competitors instead, or how to get their business recommended by AI. It runs a real check: it asks ChatGPT, Perplexity and Gemini up to 3 questions a customer would ask when looking for this kind of business in the area the business serves, and reports whether each engine named the business, which businesses they named instead, and one fix based on the pages the answers cited. Timing: a check usually finishes in under a minute. This tool waits up to about 20 seconds and returns the result when it is ready; otherwise it returns a check_id with the status queued or running, and get_ai_recommendation_result returns the result for that check_id. A saved result for the same business is returned right away. Business details are sent to Continuum (uxcontinuum.com) to run the check. Results are shown in the conversation. Not covered: general SEO or Google ranking questions, writing marketing copy or ads, looking up or checking a person (it checks businesses only), and general questions about how AI search works. Limits: 3 buyer questions per website per day; saved results are reused for 7 days.

• get_ai_recommendation_resultFree

  Use this to read the result of a check started with check_ai_recommendation, using the check_id it returned. Returns the status (queued, running, done, failed or refused). When done: for ChatGPT, Perplexity and Gemini, how many of their answers named the business, which businesses they named instead, and one fix. While a check is queued or running, poll_after_s is the suggested wait in seconds before reading it again. It waits up to about 20 seconds for a running check to finish. It does not start a new check.

• –Code scanremote-only server, no package to scann/a
• Live reliabilityremote reachable in 323ms20/20
• Tool poisoning2 tool descriptions checked15/15
• Auth qualityopen endpoint, read-only tools10/15
• Maintenanceno repository listed3/15
• Maintainer identityendpoint served from the registry-verified namespace domain8/10

Safety score

75/100

higher than 45% of 48,255 servers

Tools

2

the typical server has 7

Tools that change things

0%

typical: 0%. Fewer write tools means less an agent can break

Uptime

100%

of our recent checks; the typical remote server answers 100%

Response time

169 ms

faster than 69% of 30,031 servers

AI Recommendation Check: common questions

Is AI Recommendation Check MCP server safe?

Mostly: it is graded B (75/100). Read the AI Recommendation Check safety report

How do I install AI Recommendation Check?

It runs remotely at uxcontinuum.com. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.

Does AI Recommendation Check need an API key?

Not as far as the registry entry and our scan can tell: no credentials are declared or required.

Is AI Recommendation Check maintained?

The latest release is v1.0.0.

Is AI Recommendation Check up?

100% of our last 28 checks got an answer. We check remote servers about four times a day.

What can I use instead of AI Recommendation Check?

Servers from other publishers that do the same job: Domain Liveness MCP server and Business Contact Finder MCP server.

How does AI Recommendation Check compare with other MCP servers?

safety score 75/100 (higher than 45% of 48,255 servers); tools 2 (the typical server has 7); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.