AI Agent Search Optimization
NPM · MCP-SERVER-AI-AGENT-SEARCH-OPTIMIZATION · SCANNED AUG 3
Audit AI search readiness, generate llms.txt drafts, and build GEO/AEO prompt matrices for websites.
Available components
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 Security87
- No malware found by supply-chain analysis.Pass
- Only part of the dependency tree could be resolved (95 of 99), 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 (95 of 99), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency19
- Repository check failed: no source repository is declared. See how to fix → View diagnostics → Fail
- 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 45 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability64
- 50% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Partial
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 416 tokens (~69/item across 6 items; 3 tools + 3 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management27
- Stability observed for 8 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
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
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 · mcp-server-ai-agent-search-optimization
claude mcp add seyitkaangunes-ai-agent-search-optimization -- npx -y mcp-server-ai-agent-search-optimization
codex mcp add seyitkaangunes-ai-agent-search-optimization -- npx -y mcp-server-ai-agent-search-optimization
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"seyitkaangunes-ai-agent-search-optimization": {
"type": "local",
"command": [
"npx",
"-y",
"mcp-server-ai-agent-search-optimization"
],
"enabled": true
}
}
} openclaw mcp add seyitkaangunes-ai-agent-search-optimization --command npx --arg -y --arg mcp-server-ai-agent-search-optimization
mcp_servers:
seyitkaangunes-ai-agent-search-optimization:
command: "npx"
args: ["-y", "mcp-server-ai-agent-search-optimization"] {
"mcpServers": {
"seyitkaangunes-ai-agent-search-optimization": {
"command": "npx",
"args": [
"-y",
"mcp-server-ai-agent-search-optimization"
]
}
}
} 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 Aug 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.
- 2 Aug 26 +59
- Provenance: unverified → fail ▼ security
- Install scripts: unverified → pass ▲ security
- Known CVEs: unverified → partial ▲ security
- Malware scan: unverified → pass ▲ security
- Security disclosure: unverified → fail ▼ functional
- Dependency health: partial → unverified ▼ functional
- License: unverified → pass ▲ functional
- Maintenance: unverified → pass ▲ functional
- MCP protocol: unverified → pass ▲ functional
- Stability: unverified → 0.23 ▲ functional
- Schema quality: unverified → good ▲ functional
- Tool coverage: unverified → 100 ▲ functional
- Schema quality: unverified → 50 ▲ functional
- Licence: MIT functional
- 1 Aug 26 −22
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 31 Jul 26 −18
- Malware scan: pass → unverified ▼ security
- 27 Jul 26 42
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 3 Aug 2026 · Analysed npm/[email protected]
Provenance none
Ecosystem: npm · Outcome: none
Dependencies 95 packages
95 packages in the resolved dependency tree · 95 deprecated · 29 stale.
The dependency tree was only partially resolved, so these counts may be incomplete.
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.
audit_site ~107
Audit a website URL for AI search readiness: crawler access, robots.txt, llms.txt, sitemap discovery, schema, visible text, and citation-readiness blockers.
| Name | Type | Req | Description |
|---|---|---|---|
| agents | array | — | Optional crawler user agents to check against robots.txt. |
| brand | string | — | Optional brand/entity name to check in crawlable page text. |
| format | string | — | Output format. Defaults to json. |
| url | string | yes | Website URL to audit. Only http and https URLs are supported. |
No output schema declared.
No examples provided.
build_llms_txt ~138
Generate a concise /llms.txt draft as a curated map for AI agents. This is not a ranking guarantee.
| Name | Type | Req | Description |
|---|---|---|---|
| fromSitemap | boolean | — | Whether to include a sample of URLs from /sitemap.xml. |
| links | array | — | Optional curated links. Relative URLs are resolved against the site origin. |
| name | string | yes | Brand, product, or website name. |
| site | string | yes | Website origin, e.g. https://example.com. |
| sitemapLimit | integer | — | Maximum sitemap URLs to include when fromSitemap is true. |
| summary | string | yes | One-sentence positioning summary for AI agents. |
No output schema declared.
No examples provided.
prompt_matrix ~150
Generate reusable AI visibility prompts for ChatGPT, Perplexity, Google AI Mode, and similar answer engines.
| Name | Type | Req | Description |
|---|---|---|---|
| audience | string | — | Target audience. Defaults to buyers. |
| brand | string | yes | Brand/entity name. |
| category | string | yes | Product, service, or market category. |
| competitors | array | — | Competitor names for comparison prompts. |
| format | string | — | Output format. Defaults to json. |
| location | string | — | Location for local-intent prompts. Defaults to the United States. |
| pains | array | — | Customer problems for problem-intent prompts. |
| surface | string | — | AI surfaces to track. Defaults to ChatGPT, Perplexity, Google AI Mode. |
No output schema declared.
No examples provided.