Search scientific literature and receive a cited Markdown report synthesizing findings from multiple research papers.
MIT
725,742 tools. Updated 2026-10-30 18:35
"research" matching MCP tools:
- Decompose your query into sub-queries, search and read multiple sources in parallel, and receive a structured report with citations. Ideal for open-ended or comparative questions requiring coverage from many angles.MIT
- Search public articles and a knowledge base in one query to get ranked passages with citations for trading topics like drawdown control and position sizing.MIT
- Search the web, fetch top pages, and return a citable brief with source references in one call.MIT
- Collect 10+ sources on a topic in one call via multiple query formulations, deduplicated URLs, and snippets; optionally read top texts for deep analysis.MIT
- Search the web, read several sources, and return ranked passages relevant to a query, with provenance receipts and per-source failures reported.MIT
Matching MCP Servers
- AlicenseNot gradedqualityDmaintenanceMulti-purpose research MCP server integrating web search, deep research, web scraping, research methodology routing, and GPT Researcher report generation.MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to perform web research over MCP: search with a real browser, fetch JS-rendered pages, download PDFs and convert them to Markdown, then search and page through large documents using bounded previews so the context window isn't flooded.BSD Zero Clause
Matching MCP Connectors
- researchOAuth
Web research across search, Reddit, YouTube, reviews and ad libraries, with line-numbered citations
The only MCP server for Arabic academic research — search, read & cite Arabic + English papers.
- Search the web, fetch top pages, summarize content, and synthesize findings to answer a research question.MIT
- Answer AI-engineering decision questions with grounded, current, cited evidence from the knowledge base and live web searches, tracing each claim to its source.MIT
- Runs a full web search and retrieval loop: queries multiple engines, expands terms, fetches and quotes passages from relevant sources, and returns a citable Markdown brief.MIT
- Answer a question or gather everything on a topic from a team wiki by meaning, returning full page and file excerpts, cited sources, disagreement flags, and a confidence signal.AGPL 3.0
- Run prospect and company research by finding LinkedIn profiles, emails, and company data, then save the findings to your records.MIT
- Investigate open questions that require synthesis across multiple sources: plan searches, read primary evidence, and iterate to a grounded, cited conclusion.MIT
- Runs a complete deep-research pipeline that breaks a question into sub-questions, gathers evidence across sources, and returns a structured report with citations and a synthesis template.MIT
- Queries multiple AI models in parallel to cross-validate answers and synthesize diverse perspectives. Use for cross-validation, trade-off analysis, or when you need multiple expert viewpoints.MIT
- "Runs a complete web research query in one call: searches, fetches top pages, and returns an evidence brief with cited URLs."MIT
- Search the live web and read top result pages as clean markdown in one call. Ask a question to get ranked results and full page content from fresh sources.MIT
- Break complex questions into sub-queries, run parallel searches, fetch sources, and synthesize a cited report for multi-source answers.AGPL 3.0
- Run a keyword search across PhilPapers/PhilArchive and retrieve full abstracts, subjects, and language for each result in a single call, enabling quick literature review without fetching each paper separately.MIT
- Submit a query to fan out across multiple AI providers and synthesize results into a unified report with cross-referenced citations and conflict resolution.MIT
- Read documents and return verbatim, cited excerpts, with optional comparison across sources. Use when a question needs the documents themselves rather than headlines.MIT
- Perform real-time research on any topic using natural language queries. Get structured results with summaries, key facts, cited sources, and confidence scores.MIT