"Searching for information about DeepSeek" matching MCP servers:

A general MCP server providing web search capabilities using DeepSeek's native online search API.

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.

Enables MCP clients and agents to run structured web searches and fetch web pages as Markdown through a search/fetch API, with rate limiting, retry/backoff, request deadlines, and private-address blocking for safer agent use.

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.

Enables agents to run web searches with query operators and to fetch web pages as Markdown through DeepSeek's native Search/Fetch JSON API. It acts as a fallback for hosts whose built-in web tools are unavailable or return errors such as HTTP 403, rather than retrying them repeatedly.

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.

Enables MCP clients to run ranked web searches with DeepSeek's search operators and to retrieve pages as titles and Markdown through DeepSeek's official Search and Fetch APIs, without invoking a chat model. Results are returned as structured content plus matching JSON text, with options for result count, page content, localization, and original-question context.

Provides AI tools for chat, code review, idea evaluation, explanation, summarization, and debugging by automating DeepSeek AI through Playwright.

Enables MCP clients to perform web searches and fetch HTTP(S) pages as Markdown through Search and Fetch APIs.

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.

Enables MCP clients to search the web and fetch public web pages via DeepSeek's Search and Fetch APIs, returning ranked results and Markdown page content for agent use.

Enables MCP clients to submit prompts through a signed-in DeepSeek browser session, retrieve responses, start new chats, check status, and stop operations, with optional Telegram forwarding.

Enables agents to run web searches and fetch HTTP(S) pages as Markdown via the DeepSeek Search/Fetch API, returning titles, URLs, summaries, publication dates, authority scores, and optional page content. Supports advanced query operators like site:, exact phrases, exclusion terms, lang:, and date-range filters, with retries, timeouts, and structured errors.

Enables MCP clients to ask questions and continue conversations with DeepSeek's web interface, with Expert mode and DeepThink reasoning enabled, without needing an official API key.

An MCP server that integrates DeepSeek's web-native multimodal vision model into Zed, featuring automatic browser login and image analysis tools. It enables vision-powered tasks like image understanding and multi-turn conversations directly within the editor.

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.

Enables any MCP-compatible AI coding client such as Claude Code, Codex, or Cursor to run web searches and fetch pages as Markdown through a self-built search engine, with per-day and per-month spend caps, prompt-injection fencing on retrieved content, and local usage/cost reporting. Search results can be filtered by site, language, and date, and repeated page fetches within a short window are not billed twice.

Enables real-time web search via DeepSeek's server-side tool without requiring additional search API keys.

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.

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.

Enables MCP clients to run web searches and fetch web page contents through DeepSeek's Search and Fetch APIs, returning structured JSON results with configurable tool names and multiple transport options.

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.

Enables local stdio access to DeepSeek Search/Fetch for web search, page extraction, bounded site discovery, code context, and asynchronous SQLite-backed research with secure credential storage.

Enables MCP clients to run web searches and fetch pages, returning structured search results and Markdown page content through two tools.

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.

Adds two tools to QwenPaw agents: one for live web search returning titles, URLs, summaries, sites, dates, and authority scores, and one for fetching a single page as Markdown. It reuses the provider key already configured in QwenPaw, so no API key needs to be entered when a provider is already set up.

Exposes DeepSeek's search and fetch APIs as two MCP tools, letting any MCP-compatible AI agent perform web search with relevance and authority scores, then retrieve chosen pages as Markdown.