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    An MCP server that provides web search powered by DeepSeek's native search API, returning AI-generated answers with source links. Integrates with MCP-compatible clients like Claude Code and Cursor.
    1
    MIT
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    Enables MCP clients to perform web searches and fetch HTTP(S) pages as Markdown through Search and Fetch APIs.
    2
    411 npm
    MIT
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    Enables text-only main models to understand images by routing local image files or URLs to a DeepSeek vision model and returning the textual analysis. Supports up to 4 images per call for description, comparison, and OCR tasks.
    1
    18 npm
    MIT
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    Enables MCP clients such as Claude Code to run real-time web searches and fetch public web pages as Markdown through DeepSeek's official search and fetch APIs, with result pagination and response caching. Runs over stdio and only requires a DeepSeek API key, needing no browser, Docker, or database.
    2
    1
    MIT
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    MCP server for DeepSeek AI models (Chat + Reasoner). Supports multi-turn sessions, model fallback with circuit breaker, function calling, thinking mode, JSON output, multimodal input, and cost tracking.
    3
    1,189 npm
    26
    MIT
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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.
    2
    MIT
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    license
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    quality
    D
    maintenance
    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.
    2
    540 npm
    1
    MIT
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    A local stdio MCP server that exposes DeepSeek's Web Search and Fetch APIs, letting AI clients run structured web queries, fetch page contents, and receive DeepSeek's raw JSON responses unfiltered and untruncated. It supports filtering by site, language, and date range, with configurable timeouts and retries.
    2
    MIT
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    Enables agents to search a lightweight catalog, inspect permissions, lazily start trusted MCP servers, and call child tools without keeping all schemas in context. It also loads approved skills on demand and routes third-party additions through a human approval queue.
    1
    228 npm
    1
    MIT
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    Enables integration of DeepSeek's language models with MCP-compatible applications, offering features like chat completion, custom model selection, and parameter control for enhancing language-based interactions.
    11
    453 npm
    358
    MIT
  • A
    license
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    quality
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    maintenance
    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.
    2
    0
    Apache 2.0