AutomateLab-tech/citation-intelligence

**A free, self-hosted MCP server that tells your agent what LLMs cite - across Perplexity, Google AI Overviews, ChatGPT, Claude, Gemini, and Bing.**
What this is
An MCP server for agents and developers who need to know which URLs get cited by AI search engines for any query. Install once, query from any MCP-compatible client (Claude Desktop, Cursor, Claude Code, Continue, Cline, n8n, LangGraph). Self-hosted, no account, no centralized backend. Bring your own API keys; nothing is stored on a remote server.
Who this is for
Install this if you're:
- Building an agent that does research and want it to cite sources LLMs already trust
- A solo dev or indie hacker checking whether your SaaS is showing up in AI search
- A content creator confirming your articles are being cited by ChatGPT, Claude, or Perplexity
- An SEO or GEO practitioner who wants programmatic citation data without a $295-$499/mo dashboard
- Running an editorial pipeline and want citation-deficit-driven topic selection
- Comparing competitor visibility across AI engines for any niche
Do NOT install this if you want:
- A polished marketing dashboard with charts and team seats - try Profound, AthenaHQ, or Otterly.AI
- A hosted service with SLAs - this is self-hosted by design
- Citation tracking for academic papers - try citecheck
- 350M+ pre-modeled prompts - that's Ahrefs Brand Radar
Why this exists
The AI citation tracking market is dominated by VC-funded dashboards starting at $295/mo. None ships MCP-first. If you're an agent or developer who wants citation data piped directly into your workflow - not into a SaaS login - there isn't a tool for you. This is that tool.
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Tools
Tools are grouped into seven namespaces: citations_*, domain_*, signals_*, panel_*, report_*, competitors_*, audit_*. The prefix is the question category; the suffix is the action. Wire names use underscores (not dots) so Anthropic-API-based MCP clients (Claude Desktop, Claude Code) can forward the tool list without HTTP 400.
**Start with citations_provenance or domain_am_i_cited.** Single-engine results (citations_check with a pinned engine) are directional; multi-engine consensus is the honest signal. A URL cited by 4 of 5 engines is a very different finding than one cited by 1.
citations_* — query-level: who cites what, with what evidence
| Tool | Purpose |
|---|---|
| citations_provenance | **Recommended first tool.** Fan a query across engines; per-URL cross-engine consensus matrix. Returns interpretation_note per engine. |
| citations_check | URLs cited by Perplexity / Claude / ChatGPT / Gemini / Google AI Mode for a query; or web rank via bing_serp / brave_serp |
| citations_evidence | Extract the cited snippet from raw_answer for each citation (why, not just that) |
| citations_predict | Citation likelihood from public signals - no LLM fired |
| citations_trend | Time-series report of citation rate + per-query gained/lost deltas |
| citations_freshness | Recency score (halflife=365d) for the pages an engine cites |
domain_* — domain-level: am I cited, what for
| Tool | Purpose |
|---|---|
| domain_am_i_cited | Domain citation check. With engine=auto (default): fans across all available LLM engines, returns per-engine breakdown + cross-engine consensus. Pin engine= to reduce cost. |
| domain_cited_for | Queries the domain has been cited for, from local cache |
| domain_cited_for_diff | Diff of domain_cited_for between two time windows for a domain |
signals_* — external signals: AI Overview, Wikipedia, GSC, answer-box position
| Tool | Purpose |
|---|---|
| signals_ai_overview | Google AI Overview presence + cited sources |
| signals_wikipedia | List Wikipedia articles referencing a domain (zero keys) |
| signals_gsc_gap | Join Google Search Console performance with AI citation status |
| signals_answer_box | Bin each citation's first mention in raw_answer into early/middle/late thirds |
panel_* — saved query panels (editorial watchlists)
| Tool | Purpose |