Skip to main content
Glama
radoxtech

DeepSeek Search Everywhere MCP

by radoxtech
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Related Servers

Alternatives to DeepSeek Search Everywhere MCP

No user-submitted related servers found.

    Related Servers

    • webscout-mcp

      wxs-lang
      A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to perform web searches, fetch and extract page content, and crawl sites with caching, rate limiting, and robots.txt compliance, all without needing API keys.
      11
      195 PyPI
      1
      MIT

    • Web Search MCP Server

      lalit9168
      F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI agents to perform web searches, extract webpage content, and conduct end-to-end search-and-extract operations using multiple search providers and content extraction methods.
      -

    • deepseek_web

      RayW23
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to run web searches and fetch webpages through native Search/Fetch APIs, returning structured JSON or Markdown while applying local validation and rate limiting.
      2
      MIT

    • Web Research MCP

      infinit3labs
      A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to search and fetch high-quality information from multiple sources, including general web APIs, Wikipedia, arXiv, Hacker News, Stack Exchange, and Crossref, with optional pro-mode deep research and clean markdown page extraction.
      10
      MIT
    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

    A4.3/5.0

    Scored across 6 tools

    Disambiguation3/5

    Three tools (deepseek_web_search with need_content=True, deepseek_search_and_read, and deepseek_research) all perform search-plus-content retrieval and differ mainly by preset flags and internal fallback behavior rather than by distinct purpose. The descriptions do attempt to steer selection ('recommended retrieval path', 'search with need_content=True'), which mitigates but does not eliminate the overlap. Fetch vs fetch_many is clearly distinct.

    Naming Consistency4/5

    All names use a uniform deepseek_ prefix with snake_case and are mostly verb- or verb_noun-shaped (web_search, search_and_read, fetch, fetch_many, research). deepseek_balance is noun-only, a minor deviation from the otherwise predictable pattern.

    Tool Count5/5

    Six tools is well-scoped for a search-and-retrieval service, covering discovery, single fetch, batch fetch, a composite research call, and account balance. No bloat; the only questionable inclusion is search_and_read, which duplicates an existing flag.

    Completeness4/5

    The retrieval lifecycle is well covered: search, rank, read content inline, fan out over known URLs, and a gap-filling composite. Missing pieces are minor conveniences (e.g. a way to inspect rate-limit status or paginate beyond the 50-result cap), and documented caveats on deepseek_fetch give agents a workaround.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources