DeepSeek Search MCP
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Alternatives to DeepSeek Search MCP
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Related Servers
- AlicenseAqualityCmaintenanceEnables MCP clients to perform web searches and fetch HTTP(S) pages as Markdown through Search and Fetch APIs.267 npmMIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents and LLM apps to run live web searches and fetch public web pages as Markdown, returning structured search results and page content through MCP clients.1Apache 2.0
- AlicenseAqualityCmaintenanceEnables any MCP-compatible AI agent to search the live web and fetch pages as clean Markdown, including batch fetching with rate limiting, retries, and context-safe truncation.3MIT
- AlicenseAqualityBmaintenanceEnables MCP clients to run web searches and fetch pages, returning structured search results and Markdown page content through two tools.2MIT
- AlicenseAqualityBmaintenanceEnables 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.239 npmApache 2.0
- AlicenseNot gradedqualityDmaintenanceMCP server that provides web search scraping from DuckDuckGo (with Mojeek fallback) and URL content fetching as markdown/text or raw HTML.1ISC
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Scored across 2 tools
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.
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.
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.
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.