com.mambabuilt/mcp-ai-answer-visibility-tracker
NPM · @MAMBALABSDEV/MCP-AI-ANSWER-VISIBILITY-TRACKER
Whether AI Overviews, ChatGPT, Claude, Perplexity, and Gemini name and cite a brand.
Available components
Last scanned (46 minutes ago)
Scores higher than 38% of npm servers
Category Marketing and SEO
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 30 of 92 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency48
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 6 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability57
- AI-judged instruction clarity (excellent).Pass
- Context-footprint check failed: tool/resource definitions use about 692 tokens (~692/item across 1 items; 1 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management23
- Stability observed for 7 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 1 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 1 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 3 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.
- 1 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.
- 30 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 0 to 3. That category is still filling its 30-day observation window: 0 days of observed history at the previous scan, 1 at this one. The score rises as the window fills, whether or not the server changes.
- 29 Oct 26 67
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Analysed npm/@mambalabsdev/mcp-ai-answer-visibility-tracker@1.0.0
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Dependencies 92 packages
| Packages resolved | 92 |
|---|---|
| Stale | 30 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
track_ai_answer_visibility Track brand visibility in AI answers ~692
Check whether AI answers name and cite a brand for the questions its buyers ask. Give brand_name, brand_domain, and questions (for example "best crm for small business"). Each question is asked samples times (default 3) on each engine: google_ai_overview needs no key; openai (ChatGPT), anthropic (Claude), perplexity, and gemini run on the caller's own API keys, which this server reads from its environment (OPENAI_API_KEY, ANTHROPIC_API_KEY, PERPLEXITY_API_KEY, GEMINI_API_KEY). Returns one sample row per answer (brand_named, brand_cited, first_mention_rank, competitors_named, cited_domains, answer_excerpt), one question_summary row per question and engine (brand_named_rate, brand_cited_rate with a 95 percent range, top_cited_domains, competitor rates), and one free brand_summary row per engine. Bad input returns one free row whose error_reason starts with input_invalid. A run that does not succeed is returned as an error with its run ID. Read-only; requires an APIFY_TOKEN; Apify charges per Google sample, per engine sample, and per question rates row.
| Name | Type | Req | Description |
|---|---|---|---|
| anthropic_model | string | – | Model for the anthropic engine. Default claude-sonnet-5-5. |
| brand_aliases | array | – | Other ways answers write the brand, such as a product name. Up to 10. |
| brand_domain | string | – | The brand website domain, such as hubspot.com. An answer that cites a page on it, or on a subdomain, counts as cited. |
| brand_name | string | yes | The brand to look for in the answers, as people write it, for example HubSpot. Matched as a whole word, any case. |
| competitors | array | – | Up to 20 competitors to track in the same answers, as a name, a domain, or name|domain (Pipedrive|pipedrive.com). |
| country | string | – | Two letter country code for Google, such as us or gb. Default us. |
| engines | array | – | Where to ask. Default google_ai_overview only. openai, anthropic, perplexity, and gemini need that vendor's API key in this server's environment; the model use is billed to the key owner by the vendo… |
| gemini_model | string | – | Model for the gemini engine. Default gemini-2.5-flash. |
| include_answer_text | string | – | true (default) returns the answer text up to 8,000 characters on each sample row; false returns the 300 character excerpt only. |
| language | string | – | Language code for Google, such as en or de. Default en. |
| max_charge_usd | string | – | Optional. The run stops before it would charge more than this. |
| openai_model | string | – | Model for the openai engine. Default gpt-5-mini. |
| perplexity_model | string | – | Model for the perplexity engine. Default sonar. |
| questions | array | yes | 1 to 50 questions buyers ask, written the way they would type them, for example best crm for small business. |
| samples | string | – | How many times each question is asked on each engine, 1 to 10. Default 3. |
No output schema declared.
No examples provided.
How do I install the com.mambabuilt/mcp-ai-answer-visibility-tracker server?
com.mambabuilt/mcp-ai-answer-visibility-tracker runs locally as an npm package, launched with npx -y @mambalabsdev/mcp-ai-answer-visibility-tracker. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @mambalabsdev/mcp-ai-answer-visibility-tracker
claude mcp add com-mambabuilt-mcp-ai-answer-visibility-tracker -- npx -y @mambalabsdev/mcp-ai-answer-visibility-tracker
What is the com.mambabuilt/mcp-ai-answer-visibility-tracker server?
com.mambabuilt/mcp-ai-answer-visibility-tracker is listed in the public MCP registry as com.mambabuilt/mcp-ai-answer-visibility-tracker. Whether AI Overviews, ChatGPT, Claude, Perplexity, and Gemini name and cite a brand. This page covers its npm package (@mambalabsdev/mcp-ai-answer-visibility-tracker).
Is the com.mambabuilt/mcp-ai-answer-visibility-tracker server safe to use?
com.mambabuilt/mcp-ai-answer-visibility-tracker scores 70 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. It declares no install or post-install scripts. 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 com.mambabuilt/mcp-ai-answer-visibility-tracker server expose?
com.mambabuilt/mcp-ai-answer-visibility-tracker exposes 1 tool: track_ai_answer_visibility. Their descriptions and schemas cost roughly 692 tokens of context every time the server is loaded.
Is the com.mambabuilt/mcp-ai-answer-visibility-tracker server still maintained?
com.mambabuilt/mcp-ai-answer-visibility-tracker is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the com.mambabuilt/mcp-ai-answer-visibility-tracker server under?
com.mambabuilt/mcp-ai-answer-visibility-tracker declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.