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tavily-firecrawl-mcp

by bpzx
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Python
Remote

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    • Deep Research MCP

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      A Model Context Protocol compliant server that facilitates comprehensive web research by utilizing Tavily's Search and Crawl APIs to gather and structure data for high-quality markdown document creation.
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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

    A3.9/5.0

    Scored across 2 tools

    Disambiguation5/5

    web_fetch extracts page content as markdown, while web_search returns search results with titles and snippets. Their purposes are clearly distinct with no overlap.

    Naming Consistency5/5

    Both tools follow a consistent verb_noun pattern using snake_case (web_fetch, web_search), making the naming predictable and clear.

    Tool Count3/5

    With only 2 tools, the server feels minimal. While it covers the core operations of searching and fetching, the count is low for a combined service, though still functional.

    Completeness4/5

    The basic lifecycle of web content retrieval (search and fetch) is covered. Minor gaps include lack of explicit service selection or advanced options like pagination, but the main use cases are handled.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources