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Tavily Web Search MCP Server

by inesaranab
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Python
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    • Web Search MCP Server

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      Provides web search capabilities using the Tavily API, enabling AI models to search the internet and retrieve up-to-date information.
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    • Tavily MCP Server

      RamXX
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      Provides AI-powered web search capabilities using Tavily's search API, enabling LLMs to perform sophisticated web searches, get direct answers to questions, and search recent news articles.
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    • Tavily Web Search MCP Server

      vinitv
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      Enables web search capabilities through the Tavily API. Allows users to search the web for information using natural language queries through the MCP protocol.
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    • Tavily Web Search MCP Server

      debanshd
      F
      license
      C
      quality
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      Enables web search capabilities through the Tavily API via the Model Context Protocol. Allows users to perform web searches and retrieve information from the internet through natural language queries.
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    C2.8/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap: rolling dice, converting text to speech, and searching the web. The descriptions are straightforward, making it impossible to confuse one tool for another.

    Naming Consistency2/5

    The naming is inconsistent with mixed conventions: 'roll_dice' and 'web_search' use snake_case, while 'text_to_speech' also uses snake_case but has a different verb style ('text_to' vs. 'roll'/'web'). There is no predictable pattern across the set.

    Tool Count2/5

    With only 3 tools, the set feels thin for a web search server, as the domain suggests a focus on search-related operations. The inclusion of dice-rolling and text-to-speech tools seems out of scope, making the count inappropriate for the apparent purpose.

    Completeness2/5

    For a web search server, there are significant gaps in the tool surface: it lacks core operations like filtering search results, getting detailed page content, or managing search history. The unrelated tools (dice, text-to-speech) do not contribute to domain coverage, leaving the search functionality incomplete.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources