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DeepSeek Search MCP

DeepSeek Search MCP

by SAN-SHIa

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      Enables MCP-capable AI clients to run web searches through DeepSeek's search engine and fetch individual webpages as Markdown. Search results include relevance scores, authority, and publication times, and support advanced query syntax such as site:, lang:, and date filters.
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    TDQS

    A3.8/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have clearly distinct purposes: one searches the web and returns result lists, the other retrieves the full Markdown body of a single URL. There is no plausible scenario where an agent confuses discovery with retrieval, and the descriptions reinforce the boundary.

    Naming Consistency4/5

    Both names use the same deepseek_ prefix and snake_case convention, which is consistent and readable. The minor asymmetry is that one is qualified (web_search) while the other is bare (fetch), but the action verbs remain clear and predictable.

    Tool Count3/5

    Two tools is thin, sitting at the borderline of the 1-2 tool range that risks feeling under-built. However, for a search-and-retrieve service these are the two essential operations and neither is redundant, so it is defensible rather than deficient.

    Completeness4/5

    The search-plus-fetch pairing covers the standard research lifecycle end to end: find candidate pages, then read the full text of one. Nice-to-haves like batch fetching or paginated result continuation are absent, but agents can work around that with repeated calls.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues