In-depth architectural comparison of the Citation Intelligence and Open WebSearch MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Citation Intelligence
Search & Data Extraction · Local stdio
Quality: 57/100 (Good) | Auth: API Key required
Open WebSearch
Search & Data Extraction · Local stdio
Quality: 68/100 (Great) | Auth: No auth required
Verdict Summary: Choose Citation Intelligence if you need specialized Search & Data Extraction tools running via a local process. Choose Open WebSearch if your workspace requires Search & Data Extraction integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Citation Intelligence when:
You need dedicated capabilities in the Search & Data Extraction domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: API Key required (BYOK (Pay Provider Direct)).
You have access to required keys: OPENAI_API_KEY, ANTHROPIC_API_KEY, GOOGLE_API_KEY, BING_API_KEY.
What LLMs cite, for agents. Check which URLs Perplexity, Claude, ChatGPT, Gemini, Bing, and Google AI Overviews cite for any query. Self-hosted, BYO API key. Install via npx @automatelab/citation-intelligence.
Web search using free multi-engine search (NO API KEYS REQUIRED) — Supports Bing, Baidu, DuckDuckGo, Brave, Exa, and CSDN.
Category & Scope
Tools & Capabilities Breakdown
Citation Intelligence Tools (26)
citations_check
Return URLs cited by an AI engine (Perplexity, Claude, ChatGPT, Gemini, or Bing) for a query. Use this when an agent or user wants to see what sources an AI search engine grounds answers on. Requires at least one engine API key; auto-picks the first available.
domain_am_i_cited
Check whether a domain is cited by an AI engine across a cluster of queries. Returns per-query presence, rank, and a citation-rate summary. Use to measure visibility for a brand, product, or content site in AI search.
signals_ai_overview
Check whether Google shows an AI Overview for a query, and which URLs it cites. Uses SerpAPI (free tier: 100/month). Set SERPAPI_KEY.
domain_cited_for
List queries that the given domain has been cited for, served from the local cache. Build up a corpus by calling check_citations or am_i_cited first; cited_for queries it without spending API budget.
citations_predict
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Citation Intelligence is categorized under Search & Data Extraction and uses a local stdio subprocess. In contrast, Open WebSearch belongs to Search & Data Extraction using local stdio subprocess. Select Citation Intelligence when you need capabilities focused on search & data extraction and Open WebSearch when you require tools for search & data extraction.
Score citation likelihood for a URL from public signals (Wikipedia link presence, schema.org markup, /llms.txt, GitHub and Reddit references, canonical hygiene, HTTPS). No LLM fired - all heuristic. Returns 0-100 score, grade, signal breakdown, and ranked fixes.
panel_track
Save, load, or list named query panels. A panel is a persisted set of queries you want to monitor over time (e.g. editorial-watchlist). Use action=save with queries[] to create, action=load to read, action=list to enumerate. Panels live under <config>/panels/<name>.json.
panel_run
Run a saved panel through am_i_cited and append a timestamped snapshot. Side effects: makes external API calls to the configured AI engine (costs API quota); writes one snapshot file to disk at <config>/snapshots/<panel>/<iso>.json. Requires at least one engine API key (same as am_i_cited). Returns per-query citation presence and a citation_rate summary for the run. Use panel_track to create a panel first; use citations_trend to read the accumulated trend after multiple runs.
report_visibility
Turnkey AI visibility report for a domain across a query set. Composes check_citations over every query (or a saved panel) and returns the metrics AI-visibility trackers sell as a dashboard, in one call: mention frequency (citation_rate), share_of_voice vs competitors, average rank when cited, and brand sentiment from the answer text. Side effects: one check_citations call per query (costs API quota for uncached queries; cached queries are free). Returns structured summary + top_domains + per_query, plus a rendered Markdown report (include_markdown=true) suitable for a public page. Provide queries[] or a panel name. Same engine selection as check_citations.
citations_trend
Report citation rate over time for a panel from stored snapshots. Read-only; cache-only — makes no API calls to any AI engine and costs no API quota. Reads snapshot files from <config>/snapshots/<panel>/. Returns: snapshots[] (one entry per panel_run invocation, each with timestamp and citation_rate), plus per-query deltas (gained/lost/unchanged) comparing first vs last snapshot. Returns an empty series when no snapshots exist yet. No auth required. No rate limits. Use panel_run to accumulate snapshots first; use since to restrict the time window.
competitors_compare
Run predict_citation on 2-10 URLs and return a side-by-side signal table plus a list of signals where the URLs diverge. Use to compare your URL to top-cited competitors for the same query.
signals_wikipedia
List Wikipedia articles that reference the given domain. Read-only. One HTTPS GET to the Wikipedia API (en.wikipedia.org/w/api.php?action=query&list=exturlusage). No auth required; no API keys; no rate limits beyond Wikipedia's public API fair-use policy (~1 request/second). Returns article titles and URLs. Wikipedia backlinks are the highest-lift signal for LLM training corpora — a domain cited from Wikipedia is far more likely to appear in AI training data and citation pools. Use lang to query non-English Wikipedias.
audit_sitemap
Fetch a sitemap.xml (or sitemap index) and run predict_citation on every URL. Returns results sorted worst-score-first. Surfaces systemic issues across a whole site in one pass. Zero engine keys needed.
+14 more tools listed on main page
Open WebSearch Tools (6)
search
Search the web using multiple engines (e.g., Baidu, Bing, DuckDuckGo, CSDN, Exa, Brave, Juejin(掘金), Startpage, Sogou(搜狗)) with no API key required. searchMode meanings: omit or set auto to use the server configured SEARCH_MODE; request forces request-based search; playwright forces browser-based search.
fetchLinuxDoArticle
Fetch full article content from a linux.do post URL
fetchCsdnArticle
Fetch full article content from a csdn post URL
fetchGithubReadme
Fetch README content from a GitHub repository URL
fetchWebContent
Fetch content from a public HTTP(S) URL (supports Markdown files and normal web pages)
fetchJuejinArticle
Fetch full article content from a Juejin(掘金) post URL