AutomateLab-tech/citation-intelligence

Overview

An MCP server that measures how often LLMs cite sources across Perplexity, Claude, ChatGPT, Gemini, Bing, and Google AI Overviews. It provides 12 tools for querying citation visibility, requires users to bring their own API keys, and is self-hosted with no telemetry.

Best for

Best for
Developers and SEO teams who need to programmatically track AI citation visibility across multiple platforms.

Use cases

• Audit which AI platforms cite your content or brand
• Compare citation rates across multiple LLM search tools
• Integrate citation tracking into automated reporting pipelines

Notes

An MCP server that measures how often LLMs cite sources across Perplexity, Claude, ChatGPT, Gemini, Bing, and Google AI Overviews. It provides 12 tools for querying citation visibility, requires users to bring their own API keys, and is self-hosted with no telemetry.

0 stars on GitHub. Last updated 2026-06-01. Licensed MIT.

Use cases

• Audit which AI platforms cite your content or brand
• Compare citation rates across multiple LLM search tools
• Integrate citation tracking into automated reporting pipelines

Pros

• Self-hosted with no telemetry for privacy control
• Covers six major AI search platforms in one tool
• TypeScript codebase with clear MCP protocol support

Cons

• Requires separate API keys for each platform tested
• No pre-built dashboards or visualization
• Zero community adoption or stars at launch

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.