"deepseek" matching MCP servers:

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

Enables using DeepSeek models as a small, cheap supervised worker from any MCP-compatible client, providing fast flash and deep reasoning tools for bounded tasks.

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 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.

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 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.

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.

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.

A DeepSeek-powered MCP server that provides high-accuracy web search using the native DeepSeek V4-Flash search API, offering standard and deep research tools that return cited answers and cross-verified reports.

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.

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.

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.

A server that enhances Claude's reasoning capabilities by integrating DeepSeek R1's advanced reasoning engine to tackle complex reasoning tasks.

Lets any MCP-compatible agent analyze, describe, OCR, compare, locate, upload, and manage images through DeepSeek's vision model.

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.

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

A Model Context Protocol (MCP) server that provides access to DeepSeek-R1's reasoning capabilities, allowing non-reasoning models to generate better responses with enhanced thinking.

Allows seamless integration of DeepSeek's language models with MCP-compatible applications like Claude Desktop, supporting features such as model selection, temperature control, and multi-turn conversations with automatic model fallback.

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.