"deepseek" matching MCP servers:

Enables MCP-compatible clients to search the web and fetch HTTP/HTTPS pages as Markdown, returning result metadata such as titles, URLs, dates, relevance, and summaries.

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.

It enables AI agents to perform real-time web searches and fetch webpages as Markdown through stdio-exposed tools.

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.

Enables AI agents to perform web search, page fetching, and multi-source research via the official search and fetch API, with deduplication, content limits, caching, and rate limiting.

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.

Enables MCP clients to run web searches that return ranked results with titles, URLs, snippets, summaries, and optional extracted page content, and to fetch HTTP or HTTPS pages as Markdown. It runs over stdio as a zero-dependency Python server that uses DeepSeek's official APIs and any supported MCP client.

Exposes token-authenticated search and fetch tools over Streamable HTTP so MCP clients can run web queries and retrieve page content from an upstream search API. It adds per-profile Bearer auth, concurrency and rate limits, request-size and output caps, and sanitized errors, while requiring no model calls or client-specified upstream addresses.

MCP server providing web search, page opening, and text finding tools for DeepSeek Harness, using DuckDuckGo first with Bing fallback and quality scoring.

Enables AI agents to perform ranked web searches and convert pages to Markdown through the DeepSeek Search & Fetch API, including a research mode that returns top-scoring pages with content and numbered sources in one call. Supports relevance, site, language and date filters plus offset-based paging for long documents.

Provides source-traceable live web search and URL extraction through Brave and Tavily, with provider status, health checks, fallback notices, and optional TaroCub guidance.

Enables DeepSeek Harness to run seller analytics and local Wildberries/Ozon marketplace tools — such as product search, data export and XLSX delivery — through an account login and browser extension, with per-job authorization of each tool call.

Enables fetching WeChat public account articles, caching them in SQLite, and reading them as paginated Markdown via MCP, with optional DeepSeek summarization and HTML/Markdown export.

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.

Provides web search and page fetching tools for third-party models (e.g., DeepSeek, Qwen, Kimi) in Claude Code, with configurable search backends, Markdown output, and safety boundaries.

Enables a local MCP server to control an authenticated Chrome browser for interacting with Google Search, Gemini, ChatGPT, Claude, and DeepSeek, including web search and image generation without per-provider API keys.