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750,868 tools. Updated 2026-11-06 11:28

"A search tool for finding academic research with Farsi-language search support" matching MCP tools:

  • Perform AI-powered web searches to extract structured data from search results for research, competitive analysis, and multi-source information gathering.
    MIT
  • Search Amazon by keyword or category URL to get structured product listings with prices, ratings, and badges for market research and product discovery.
    MIT
  • Search monday.com for boards, documents, folders, workspaces, updates, or items using a search term and type. Returns IDs with object type prefixes.
    MIT
  • Returns a structured research prompt for pharmacogenomic data when no local study exists. Use web search then save results via save_drug_research.
    MIT

Matching MCP Servers

  • A
    license
    A
    quality
    D
    maintenance
    Enables searching academic literature via Semantic Scholar with relevance filters, batch metadata retrieval, and citation-graph recommendations.
    5
    AGPL 3.0

Matching MCP Connectors

  • Academic research search across PubMed and arXiv

  • Web search for AI agents. Ranked results with page passages already extracted, plus URL to markdown.

  • Search biomedical literature, clinical trials, genetic variants, genes, drugs, and diseases using a unified query language or domain-specific filters. Access data from PubMed/PubTator3, ClinicalTrials.gov, MyVariant.info, and BioThings suite for precise research insights.
    MIT
  • Get parsed Amazon search results with product name, price, rating, review count, and Prime status for any keyword, enabling product discovery and price research.
    MIT
  • Gather complete research sources in one search by auto-fetching stub pages in parallel and returning raw content for synthesis. Use it when research needs complete documents, not snippets.
    MIT
  • Search the web semantically to get context-aware answers, fetch page contents, and find similar results for research.
    MIT
  • Search academic papers from medRxiv by medical category to find recent research in specific fields like infectious diseases or oncology.
    MIT
  • Search Zvec vector stores by converting natural language queries into embeddings and retrieving similar items from a specified collection.
    Apache 2.0
  • Search Sendchamp documentation and API operations using natural language queries. Filter by content type for precise results.
    MIT
  • Semantic search across a project's knowledge base. Use natural language queries to retrieve top matching chunks with source and score, with optional metadata filtering.
    MIT
  • Find academic papers by keyword across OpenAlex or arXiv, with optional year and open-access filters to locate relevant research.
    MIT
  • Search Google, Bing, or Yahoo organic results by query, location, and language to check rankings and gather snippets for SEO and competitor research.
    MIT
  • Search German legislative processes in DIP by title substring to track a law’s status and find linked Drucksachen numbers; use a distinctive word, not a natural-language phrase.
    GPL 3.0