"Exploring Memory Persistence in DeepSeek Technology" matching MCP servers:

Persistent memory MCP server that stores and retrieves memories in Markdown files, enabling shared context across multiple AI agents with hybrid search and deduplication.

Provides durable JSON document storage with immutable revisions, idempotent writes, and streamed binary artifact upload/download for MCP clients, with broker-mediated access control.

Facilitates knowledge graph representation with semantic search using Qdrant, supporting OpenAI embeddings for semantic similarity and robust HTTPS integration with file-based graph persistence.

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 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.

MCP server for amazon.in — cheapest in-stock, best-value picks, and price history links.

Local MCP server that provides DeepSeek-powered code review, file analysis, and consultation tools for coding agents, enabling read-only analysis with minimal token overhead.

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.

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.

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.

MCP server that enables Claude Code to delegate tasks to DeepSeek and other LLMs, offering 20 tools for code review, analysis, testing, and code generation.

Enables Claude Code to delegate tasks such as planning, coding, reviews, debugging, tests, and docs to a cheaper model that works autonomously in a project-sandboxed loop with file, search, and test tools, returning a compact report to save tokens. Routing rules, approval-gated deletes and commands, per-task model/effort settings, and backups keep the user in control of what gets handed off.

A Codex MCP server that delegates exploration and implementation tasks to DeepSeek via Claude Agent SDK, supporting subagent types and task persistence.

Enables an Alexa+ host to place and manage customer-care calls by building a case, navigating phone menus, waiting on hold, explaining the issue, guarding sensitive disclosures, handing off identity checks, recording ticket numbers and promises, and scheduling follow-ups.

Enables local AI agents to access DeepSeek V4 models and perform coding tasks via Pi's agent SDK.

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 Codex to rank available tools and skills, rerank code and documentation search results, and triage saved output artifacts using Jev-based relevance scoring while leaving final decisions to Codex.

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

MCP server that exposes an analyze_image tool using Gemini vision models to describe or analyze images from local paths, URLs, or base64 data URIs.

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.

An MCP relay that adds a use_jev tool to every connected server, letting the Jev model autonomously select and execute tool calls while the calling model supplies any required text values. It enables agents to delegate multi-step tool use across all configured MCP servers through a single unified interface.

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.

MCP server that wraps DeepSeek's AI capabilities into standard MCP tools, supporting three authentication modes including free web-based usage without API keys.

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.

MCP server that lets AI agents discover, inspect, install, and run DeepSeek Harness plugins via MCP, bridging the gap between the MCP protocol and Cordis-based plugin bundles.