#citations

Search 600,000+ CS/AI/ML papers with citation-graph traversal, full-text extraction, embeddings, and BibTeX export, inside Claude Code, Cursor, and other MCP clients.

The triage layer for content teams who ship with AI. SEO Performance MCP scores every post you have already published from Google Search Console, GA4, Matomo, Microsoft Clarity, and AI-citation data, then tells your agent exactly what to refresh, expand, merge, or kill this week. Most SEO tools tell you which keywords you should be ranking for; this MCP tells you what to do about the posts you have already shipped. Every verdict comes with explicit reason codes (decay rate, position window, CTR gap, citation loss) so the agent can act on the call instead of asking you to read three graphs first. MIT-licensed, eight tools, three discoverable prompts, works with Claude Desktop, Claude Code, Cursor, Cline, and any MCP-capable agent.

Your AI research assistant that cites real sources and stays honest. Search the entire web or narrow it down to just the sites you trust; medical journals, court databases, news outlets, academic papers. Analyze the full source, not just snippets. Links that work, citations you can trust, no made-up closed-garden pre-synthesized results.

MCP server that audits AI-bot visibility. Reports per-bot robots.txt verdicts for 22 AI user-agents (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, etc.), Cloudflare AI-default flags, on-page schema, sitemap, llms.txt, SPA-shell detection, and cross-model brand mentions via Perplexity + OpenRouter. Produces a 0-100 score with explainable deductions. SSRF-guarded (blocks loopback / link-local / cloud IMDS), cost-capped (per-call + daily). MIT, 24 tests, runs on stdio or HTTP.

Google NotebookLM over MCP + a local HTTP REST API. Citation-backed Q&A, audio/video/content generation, multi-account rotation. For Claude Code, Codex, Cursor, n8n, Zapier, Make.

Ground Claude, ChatGPT, Cursor, and Windsurf in 300M scientific works — every citation is a real, verifiable DOI.

Read-only MCP server for U.S. dental practice intelligence. Four tools cover NPI lookup, multi-field provider search, DSO chain affiliation, and territory market summaries across 41 states plus DC. Authenticate with an API key (Bearer) for subscription pricing, or pay per query via x402 USDC micropayments on Base mainnet. Every response carries a citation envelope with source attribution, snapshot date, and confidence score.

Give your AI agent grounded legal knowledge: search, cite, and read German and EU laws, EU regulations/directives, and federal court decisions — returning verified full text with stable citations.

Give your AI agent grounded legal knowledge: search, cite, and read German and EU laws, EU regulations/directives, and federal court decisions — returning verified full text with stable citations.

Free real-time Google Search for AI tools. Returns grounded answers with inline citations and source URLs. Works with Claude Code, Codex CLI, Cursor. Single binary, no API key required.

Parallect is an MCP server that turns any AI assistant into a deep research powerhouse. Instead of relying on a single provider, it fans out your research queries across Perplexity, Gemini, OpenAI, Grok, and Anthropic in parallel -- then synthesizes the results into a single coherent report with extracted claims, cross-provider confidence scoring, deduplicated citations, and automatic conflict resolution. Manage research threads with follow-up questions, drill into individual claims with full evidence chains and source URLs, search across your findings by confidence level, and control spend with flexible budget tiers. One MCP, every major research model, one unified answer.

PinRAG is a retrieval-augmented generation (RAG) MCP server built with LangChain and Chroma. Index PDFs, plain text, Discord exports, YouTube transcripts, and GitHub repositories, then ask questions in Cursor, VS Code (Copilot), or any MCP-capable client. Answers include citations (pages, timestamps, paths). Install via PyPI (`pipx`, `uv tool`, or `uvx --from pinrag pinrag-mcp`). Configure API keys in your editor’s MCP `env` block.

Hosted MCP server for literature search, citation verification, related-paper discovery, and citation graph workflows.

Scholar Sidekick MCP resolves any scholarly identifier (DOI, PMID, PMCID, ISBN, arXiv, ISSN, NASA ADS bibcodes, WHO IRIS URLs) into structured bibliographic metadata, formats citations in 10,000+ CSL styles (Vancouver, APA, AMA, IEEE, Chicago, Harvard, MLA, Nature, BMJ, Lancet, and many more), and exports references to BibTeX, RIS, CSL JSON, EndNote (XML/Refer), RefWorks, MEDLINE, Zotero RDF, and CSV. The format/export/resolve tools accept a single identifier or a comma/newline-separated batch, so an assistant can chain resolveIdentifier → formatCitation → exportCitation in one prompt for an end-to-end "raw IDs → exportable bibliography" workflow. Three single-citation checks complete the picture: checkRetraction surfaces retractions, corrections, and expressions of concern from Crossref / Retraction Watch; checkOpenAccess returns OA status and the best legal landing or PDF URL from Unpaywall; verifyCitation cross-checks the cited title against the resolved record at the cited identifier to detect the AI-driven fabrication pattern documented by Topaz et al. (Lancet 2026 — the dominant pattern is a real DOI paired with an invented title, which simple identifier resolution cannot catch). Each formatted response carries a provenance metadata block (formatter, styleUsed, requestId, warnings) so you can see exactly which engine produced each citation. Try asking your assistant: "Is this citation real, or did an AI make it up? 10.1056/NEJMoa2033700 — 'Safety and Efficacy of the BNT162b2 mRNA Covid-19 Vaccine'" "Has PMID 30049270 been retracted?" "Resolve arXiv:2301.08745 and tell me if there's a free open-access PDF" "Format 10.1056/NEJMoa2033700 in Vancouver style and export as BibTeX" Powered by the Scholar Sidekick API (free tier available on RapidAPI).

OpenAI Deep Research MCP Server enables AI assistants to conduct comprehensive, multi-step research through intelligent web search and content synthesis. Transforms complex research queries into structured, citation-backed reports without writing custom search logic. Features iterative exploration, automatic knowledge gap identification, and seamless integration with OpenAI's Deep Research models for scholarly-quality research automation.

A professional MCP server for academic research using OpenAlex.org API. Provides ML-powered author disambiguation, institution resolution, ORCID integration, scholarly work search, and research topic analysis. Perfect for academic research, literature reviews, and author identification tasks.

Enhanced MCP server for SearXNG: category-aware web-search, web-scraping, and date/time retrieval.