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deepseek-search-mcp

deepseek-search-mcp

by eggylan

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      Enables MCP clients to run ranked web searches with DeepSeek's search operators and to retrieve pages as titles and Markdown through DeepSeek's official Search and Fetch APIs, without invoking a chat model. Results are returned as structured content plus matching JSON text, with options for result count, page content, localization, and original-question context.
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      Exposes DeepSeek's web search and page-fetch tools to any MCP client, letting any LLM run searches with quality signals like rerank score and source authority, plus advanced query syntax. It also retrieves single pages as Markdown, with built-in throttling, retries, and size-conscious summaries.
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    TDQS

    A3.9/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have clearly distinct roles: web_search retrieves ranked results from a query, while web_fetch reads a single known URL into Markdown. The web_fetch description even explicitly states when to prefer it over search, eliminating any selection ambiguity.

    Naming Consistency5/5

    Both tools follow the same predictable snake_case verb_noun pattern (web_search, web_fetch) with a shared 'web_' prefix. No inconsistency or mixed conventions.

    Tool Count4/5

    Two tools is minimal, but for a search-centric server the search-plus-fetch loop is exactly the required surface, and neither tool is redundant. It sits just below a richer surface that could add pagination or multi-URL fetching.

    Completeness4/5

    The core retrieve-then-read workflow is fully covered, and search operators are folded into the query string rather than requiring extra tools. Minor gaps exist such as no paging/count control or batch fetching, but agents can work around these.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues