127,006 tools. Last updated 2026-05-05 07:19
"Information or meaning related to 'Tavily'" matching MCP tools:
- Search the web for information using natural language queries through the Tavily API. This tool retrieves search results to answer questions and provide context.
- Search the web for real-time information using the Tavily API to answer queries and gather current data.
- Store facts and decisions permanently in a knowledge graph using semantic embeddings for meaning-based retrieval.MIT
- Return isolated, non-transient concept nodes with no connections to surface dropped context, then suggest linking them to related ideas or archiving if irrelevant.MIT
- Retrieve semantically similar text fragments from a provenance-tracked knowledge store. Use natural language queries for meaning-based search instead of exact keyword matching.MIT
- Retrieve stored information from long-term memory using semantic meaning, keywords, or both to provide context about topics when users ask questions.MIT
Matching MCP Servers

Tavily MCP Serverofficial
AlicenseAquality-maintenanceThis server enables AI systems to integrate with Tavily's search and data extraction tools, providing real-time web information access and domain-specific searches.Last updated4119,2671,835- MIT
Matching MCP Connectors
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 memories by semantic meaning to find relevant information before starting tasks when exact keypaths are unknown.Apache 2.0
- Search Tenzir documentation by keyword to find operators, functions, or concepts, and explore related content through cross-references for comprehensive understanding.Apache 2.0
- Retrieve a comprehensive list of available metrics from the dbt Semantic Layer. Use it as the initial step to identify relevant metrics for answering data or business-related queries.
- Search documents using semantic understanding to find relevant content based on meaning rather than keywords. Understands natural language queries and returns ranked passages with source information.MIT
- Search for words by meaning, sound, spelling, or rhyme using the Datamuse API. Returns results with quality scoring and source attribution for research and writing.
- Search memory to retrieve related insights, hypotheses, and evidence from previous reasoning sessions, helping build on established connections and solutions.MIT
- Create a discount group in Paddle to organize and manage related discounts under a single name for campaigns, promotions, or team management.Apache 2.0
- Retrieve LeetCode problem details including description, examples, constraints, and related information using the problem's URL slug identifier.MIT
- Create a new electronic lab notebook to organize related experiments and entries under a single structure for research data management.AGPL 3.0
- Discover research articles related to a specific PubMed article by entering its PMID. This tool helps researchers expand their literature review and identify relevant studies.MIT
- Retrieve detailed author information from Open Library by entering the author's name to facilitate efficient book-related searches and research.
- Find relevant code in cached files by meaning or keyword intent. Retrieve semantic matches for concepts or behavior, with optional directory filter.MIT
- Store AI-generated SVG visualizations or Markdown documents in a knowledge graph to preserve visual representations and node-related documentation.MIT
- Discover semantically related concepts using ConceptNet's similarity algorithms to expand exploration, find related terms, and understand semantic neighborhoods.GPL 3.0