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io.github.sharozdawa/ai-visibility

NPM · AI-VISIBILITY-MCP · SCANNED AUG 3

Track brand visibility across ChatGPT, Perplexity, Claude, and Gemini.

Available components

+19 this week 65 Trust /100
Trust breakdown (6 categories)

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 →

Supply Chain Security86
  • No malware found by supply-chain analysis.Pass
  • Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree.Partial
  • No install/post-install scripts declared.Pass
  • Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability77
  • AI-judged instruction clarity (excellent).Pass
  • Tool/resource definitions use about 415 tokens (~69/item across 6 items; 6 tools + 0 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
  • Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
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
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass

Unverified: 1 category

A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

npm · ai-visibility-mcp

# add to Claude Code
claude mcp add sharozdawa-ai-visibility -- npx -y ai-visibility-mcp
# add to Codex CLI
codex mcp add sharozdawa-ai-visibility -- npx -y ai-visibility-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "sharozdawa-ai-visibility": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "ai-visibility-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add sharozdawa-ai-visibility --command npx --arg -y --arg ai-visibility-mcp
# ~/.hermes/config.yaml
mcp_servers:
  sharozdawa-ai-visibility:
    command: "npx"
    args: ["-y", "ai-visibility-mcp"]
// mcp.json
{
  "mcpServers": {
    "sharozdawa-ai-visibility": {
      "command": "npx",
      "args": [
        "-y",
        "ai-visibility-mcp"
      ]
    }
  }
}
Changelog

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.

  • 2 Aug 26 +44
    • Provenance: unverified → fail security
    • Install scripts: unverified → pass security
    • Known CVEs: unverified → partial security
    • Malware scan: unverified → pass security
    • Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
    • Tool coverage: 100 → unverified functional
    • Schema quality: unverified → excellent functional
    • License: unverified → pass functional
    • Dependency health: unverified → partial functional
    • Maintenance: unverified → pass functional
    • MCP protocol: unverified → pass functional
    • First check of Schema quality: unverified functional
    • Licence: MIT functional
  • 31 Jul 26 −25
    • We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
  • 27 Jul 26 46

    First indexed and scored.

Diagnostics

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 3 Aug 2026 · Analysed npm/[email protected]

Provenance none

Ecosystem: npm · Outcome: none

Dependencies 94 packages

94 packages in the resolved dependency tree · 94 deprecated · 29 stale.

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools — 6 exposed · ~415 tokens

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.

Tool Tokens
check_brand_visibility ~106

Check a brand's visibility across AI platforms (ChatGPT, Perplexity, Claude, Gemini). Simulates realistic queries and analyzes mention rates, positions, sentiment, and competitor landscape.

NameTypeReqDescription
brandstringyesThe brand name to check visibility for
keywordsarrayIndustry keywords related to the brand (e.g., ['SEO', 'analytics']). Used to generate relevant queries.
platformsarrayWhich AI platforms to check. Defaults to all four platforms.

No output schema declared.

No examples provided.

check_single_query ~89

Check if a brand is mentioned for a specific query on a specific AI platform. Returns mention status, position, context snippet, sentiment, and competitor mentions.

NameTypeReqDescription
brandstringyesThe brand name to check
platformstringyesThe AI platform to check on
querystringyesThe exact query to check (e.g., 'What are the best SEO tools?')

No output schema declared.

No examples provided.

compare_brands ~69

Compare the AI visibility of multiple brands side by side. Shows per-platform scores, overall rankings, and relative strengths.

NameTypeReqDescription
brandsarrayyesList of brand names to compare (2-10 brands)
keywordstringOptional industry keyword for context (e.g., 'project management')

No output schema declared.

No examples provided.

get_recommendations ~76

Get actionable recommendations to improve a brand's AI visibility. Prioritized suggestions based on current score and industry best practices.

NameTypeReqDescription
brandstringyesThe brand name to get recommendations for
current_scorenumberCurrent visibility score (0-100) if known. If not provided, a quick check will be performed.

No output schema declared.

No examples provided.

get_visibility_score ~50

Calculate an overall AI visibility score (0-100) for a brand across all four AI platforms. Includes per-platform breakdowns and improvement recommendations.

NameTypeReqDescription
brandstringyesThe brand name to score

No output schema declared.

No examples provided.

list_platforms ~25

List all supported AI platforms with details about how each sources and presents brand information.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.