loudmink-mcp
v0.1.1
Published
MCP server for Loudmink, the AEO (Answer Engine Optimization) platform that helps brands show up in AI search engines like ChatGPT, Gemini, Perplexity, Claude, and Grok. Connects Claude Code to your AI search visibility data, tracked queries, and content.
Downloads
295
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Readme
loudmink-mcp
Loudmink is an AEO (Answer Engine Optimization) platform that helps brands show up in AI search engines like ChatGPT, Gemini, Claude, Perplexity, and Grok. It tracks what those engines say about your brand, shows which sources they pull their answers from, and generates the content (articles, Reddit, YouTube) that gets your brand recommended in AI answers.
loudmink-mcp is the Model Context Protocol (MCP) server that connects Claude Code to your Loudmink account, so the model can read your AI search visibility data, manage tracked queries, and score content without leaving the terminal. It is one of several ways to work with Loudmink, alongside the web app, the loudmink-cli content tool, and the Loudmink Sync plugin for Framer.
Install
claude mcp add loudmink npx loudmink-mcp --api-key=lm_xxxxxxxxGenerate your API key in Loudmink under Settings → API Keys. Keys are scoped to one product; create separate keys per product.
You can also pass the key via env var instead of --api-key:
LOUDMINK_API_KEY=lm_xxx claude mcp add loudmink npx loudmink-mcpTo target a self-hosted instance, set --base-url=https://your-instance.example.com or LOUDMINK_BASE_URL.
What it exposes
Resource: loudmink://knowledge-base, your product knowledge base in markdown, the same context the in-app agent uses.
Read tools (10):
list_queries: tracked queries with per-engine visibilityget_query_detail: full visibility data for one queryget_query_history: citation history over timeget_digest: competitor and source analysis for a queryget_competitors: visibility snapshot with positionslist_articles: content library with AEO scoresget_article: full article content and metadatalist_reddit_opportunities: Reddit threads AI engines citeget_cycle_status: whether insights are currently being generatedget_snapshots: visibility trends over time
Write tools (5):
add_queries: add new queries to track (up to 20 at a time)tag_queries: add or update tags on a querytrigger_recheck: rerun a query across all enginesscore_article: score an article for AEO complianceupdate_article: patch title or summary
Not exposed (by design): article generation, Reddit posting, content sync push, campaign triggers, agent chat. These are kept inside the web app where human review and rate limits live.
Development
npm install
npm run build # one-off compile
npm run dev # tsc --watchSource: packages/loudmink-mcp/ in the Loudmink monorepo.
License
MIT
