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204,693 tools. Last updated 2026-06-15 01:01

"Using a search engine to find evidence to answer a question" matching MCP tools:

  • Rewrites content for Answer Engine Optimization with BLUF, FAQ, and schema to improve direct-answer visibility in ChatGPT, Perplexity, and Google AI Overviews.
    MIT
  • Search the web, fetch top pages, summarize content, and synthesize findings to answer a research question.
    MIT
  • Retrieve last-update timestamps, record counts, and SLA cadences per data source to determine if the answer to a regulatory question is up-to-date.
    MIT
  • Execute a complete RAG workflow to answer questions using retrieved context documents. Handles embedding, semantic search, and answer generation with direct quotes.
    MIT
  • Evaluate answer accuracy by checking semantic equivalence to ground truth using question-answer generation, avoiding strict string matching issues.
    Apache 2.0

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  • Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.

  • Daily world briefing that tells AI assistants what's actually happening right now. Leaders, conflicts, deaths, economic data, holidays. Updated daily so they stop getting current events wrong.

  • Search agent transcripts, changesets, and shared development memory to retrieve evidence relevant to a question, enabling reuse of prior context before editing or reviewing code.
    Apache 2.0
  • Search audit findings by title, severity, or status to check for duplicates before creating a new finding or to locate a specific finding for update or evidence attachment.
    MIT
  • Search the web and get a grounded answer from crawled, ranked pages. Submit a query to receive a response prompt.
    MIT
  • Submit an answer to an open question in Karea task management. Provide the question ID and your answer to resolve the query.
    MIT
  • Answer questions by retrieving relevant memories. Returns a factual answer with confidence score and sources from filtered memory searches.
    Apache 2.0
  • Retrieve a specific question and its accepted answer by providing its unique ID. Use after finding the question via search to read full content.
    Apache 2.0
  • Add or remove semantic tags on a thought to categorize and enable search. Tags like hypothesis, evidence, or decision persist in SQLite.
    MIT
  • Query document content using natural language to find specific information, extract insights, or get direct answers about policies, processes, or other details from your knowledge base.
    MIT
  • Perform deep web searches to find current information, research topics, or answer questions using real-time data from multiple search providers.
    MIT
  • Search a video transcript to answer a specific question. Finds relevant segments and returns context.
    MIT
  • Query multiple LLM engines in parallel with a single question. Configure which engines to use and receive results from each, with errors reported per engine.
    MIT