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mcp-deepseek-search

by Matthewyin

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      A
      quality
      A
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      Enables AI agents to perform real-time web search and fetch/parse webpages into clean Markdown through DeepSeek's Search and Fetch APIs. It provides configurable summaries, scoring, and robust retries for integration with MCP-compatible assistants.
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    • A
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      quality
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      Exposes DeepSeek's Search and Fetch REST APIs as two read-only MCP tools, letting any MCP-capable agent run ranked web searches and retrieve individual pages as truncated Markdown. Works with whichever model the host runs, over stdio or Streamable HTTP.
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    • A
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      quality
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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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    • -
      license
      Not graded
      quality
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      maintenance
      Enables MCP clients to run web searches and fetch individual web pages as Markdown through DeepSeek's official Search/Fetch API, with freshness filtering, structured metadata such as publish date, authority and rerank scores, and raw structured output.
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    • A
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      B
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      Enables AI agents to perform web searches and extract full-text content from web pages via standard MCP tools, with fallback search and semantic reranking.
      2
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    • A
      license
      B
      quality
      C
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      Enables MCP clients to run web searches via DeepSeek's open platform API, with optional web page fetching that returns Markdown content, and supports query syntax for source, language, and time filters.
      1
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