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neeraj-somani

Tavily 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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      Enables AI assistants to perform real-time web searches, extract data from web pages, map website structures, and crawl websites using the Tavily API.
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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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    TDQS

    C2.9/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a completely distinct purpose with no overlap: get_stock_ohlc retrieves financial data, roll_dice performs a random number generation game, and web_search conducts internet queries. The domains are so different that an agent would never confuse them.

    Naming Consistency2/5

    The naming is inconsistent with mixed conventions: get_stock_ohlc uses snake_case with a verb_noun pattern, roll_dice uses snake_case but with a verb-only style, and web_search uses snake_case with a noun_verb pattern. There is no predictable naming scheme across the set.

    Tool Count2/5

    With only 3 tools, the server feels too thin for its apparent scope as a 'Tavily Web Search MCP Server'—web_search aligns with this, but get_stock_ohlc and roll_dice are unrelated utilities that don't fit cohesively. The count is low and the tools lack a unified domain focus.

    Completeness2/5

    For a web search server, the surface is severely incomplete: web_search covers basic queries, but there are no tools for advanced search features (e.g., filtering, pagination, or result analysis). The inclusion of unrelated tools like get_stock_ohlc and roll_dice creates gaps in the core domain without adding meaningful coverage.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues