# AI Recommendation Check (remote · uxcontinuum.com)

Does ChatGPT recommend a local business? Live AI-engine check plus who gets named instead.

- Trust score: 87/100 (high trust)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-04

## Components

- remote · `uxcontinuum.com`: 87/100 (this document), [markdown](https://verifymcp.io/servers/com-uxcontinuum-ai-recommendation-check/api-plugin-mcp.md), [page](https://verifymcp.io/servers/com-uxcontinuum-ai-recommendation-check/api-plugin-mcp)

## Channel facts

- Endpoint: `https://uxcontinuum.com/api/plugin/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-04.

- **Endpoint Security**: 80/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 75/100
  - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (good).
  - Context-footprint check failed: tool/resource definitions use about 734 tokens (~244/item across 3 items; 2 tools + 1 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 97/100
  - Stability observed for 29 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 2 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 4 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.
  - Supports UI / widget rendering.

## Install

### How do I install the AI Recommendation Check MCP server?

AI Recommendation Check is a hosted endpoint at https://uxcontinuum.com/api/plugin/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add --transport http com-uxcontinuum-ai-recommendation-check 'https://uxcontinuum.com/api/plugin/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "com-uxcontinuum-ai-recommendation-check": {
      "url": "https://uxcontinuum.com/api/plugin/mcp"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "com-uxcontinuum-ai-recommendation-check": {
      "type": "http",
      "url": "https://uxcontinuum.com/api/plugin/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.com-uxcontinuum-ai-recommendation-check]
url = "https://uxcontinuum.com/api/plugin/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "com-uxcontinuum-ai-recommendation-check": {
      "type": "remote",
      "url": "https://uxcontinuum.com/api/plugin/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add com-uxcontinuum-ai-recommendation-check --url 'https://uxcontinuum.com/api/plugin/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  com-uxcontinuum-ai-recommendation-check:
    url: "https://uxcontinuum.com/api/plugin/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "com-uxcontinuum-ai-recommendation-check": {
      "Transport": "http",
      "Url": "https://uxcontinuum.com/api/plugin/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add com-uxcontinuum-ai-recommendation-check -t streamable-http -u 'https://uxcontinuum.com/api/plugin/mcp'
```

### Other

```json
{
  "mcpServers": {
    "com-uxcontinuum-ai-recommendation-check": {
      "type": "http",
      "url": "https://uxcontinuum.com/api/plugin/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-11-03 (score 87, +1)

No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-11-01 (score 86, +1)

No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-30 (score 85, +1)

No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-28 (score 84, +1)

No change was recorded against any check on this day. Stability & Change Management went from 70 to 73. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 22 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-26 (score 83, +1)

No change was recorded against any check on this day. Stability & Change Management went from 63 to 67. That category is still filling its 30-day observation window: 19 days of observed history at the previous scan, 20 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-24 (score 82, +1)

No change was recorded against any check on this day. Stability & Change Management went from 57 to 60. That category is still filling its 30-day observation window: 17 days of observed history at the previous scan, 18 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-21 (score 81, +1)

No change was recorded against any check on this day. Stability & Change Management went from 47 to 50. That category is still filling its 30-day observation window: 14 days of observed history at the previous scan, 15 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-19 (score 80, +1)

No change was recorded against any check on this day. Stability & Change Management went from 40 to 43. That category is still filling its 30-day observation window: 12 days of observed history at the previous scan, 13 at this one. The score rises as the window fills, whether or not the server changes.

## MCP tools (2)

### `check_ai_recommendation` (~448 tokens)

Check if AI recommends a business

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.

Input parameters:

- `business_name` (string, required): The business name as customers know it, for example "Joe's Plumbing".
- `category` (string, required): What the business is, in the words a customer would use to look for one, for example "plumber", "wedding photographer" or "HVAC company". Not a slogan.
- `email` (string): Optional. The owner's email address, if they want Continuum to send this result and follow up.
- `service_area` (string): The area the business serves, as its customers would name it, for example "Austin, TX". This describes the business, not the user's own location. Empty when the business serves customers anywhere onl…
- `website` (string, required): The business website, for example "joesplumbing.com". Used to recognise the business in answers and to keep its daily limit.

### `get_ai_recommendation_result` (~145 tokens)

Get the AI recommendation check result

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.

Input parameters:

- `check_id` (string, required): The check_id returned by check_ai_recommendation.

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/com-uxcontinuum-ai-recommendation-check/api-plugin-mcp#diagnostics

## Score history

- 2026-11-04: 87
- 2026-11-03: 87
- 2026-11-02: 86
- 2026-11-01: 86
- 2026-10-31: 85
- 2026-10-30: 85
- 2026-10-29: 84
- 2026-10-28: 84
- 2026-10-27: 83
- 2026-10-26: 83
- 2026-10-25: 82
- 2026-10-24: 82
- 2026-10-23: 81
- 2026-10-22: 81
- 2026-10-21: 81
- 2026-10-20: 80
- 2026-10-19: 80
- 2026-10-18: 79
- 2026-10-17: 79
- 2026-10-16: 78
- 2026-10-15: 78
- 2026-10-14: 77
- 2026-10-13: 77
- 2026-10-12: 76
- 2026-10-10: 76
- 2026-10-06: 74

## Common questions

### What is the AI Recommendation Check MCP server?

AI Recommendation Check is an MCP server listed in the public MCP registry as com.uxcontinuum/ai-recommendation-check. Does ChatGPT recommend a local business? Live AI-engine check plus who gets named instead. This page covers its hosted endpoint (https://uxcontinuum.com/api/plugin/mcp).

### Is the AI Recommendation Check MCP server safe to use?

AI Recommendation Check scores 87 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the AI Recommendation Check MCP server expose?

AI Recommendation Check exposes 2 tools: check_ai_recommendation, get_ai_recommendation_result. Their descriptions and schemas cost roughly 593 tokens of context every time the server is loaded.

### Does the AI Recommendation Check MCP server require authentication?

No. We connected to AI Recommendation Check without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the AI Recommendation Check MCP server still maintained?

AI Recommendation Check is still listed as active in the MCP registry. We last reached this channel on 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://uxcontinuum.com/api/plugin/mcp
- Website: https://uxcontinuum.com/chatgpt-plugin
- Changelog RSS feed: https://verifymcp.io/servers/com-uxcontinuum-ai-recommendation-check/api-plugin-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/com-uxcontinuum-ai-recommendation-check/api-plugin-mcp.json
- HTML version of this page: https://verifymcp.io/servers/com-uxcontinuum-ai-recommendation-check/api-plugin-mcp