MCP servers for deepseek

A curated list of plugins, skills, MCP servers, patch/profile layers, orchestrators & UIs for DeepSeek Harness (DSH). Visualization · PPT · Coding · Agents · Loops (auto-research) and more. #dsh

Fast Rust launcher for DeepSeek Harness, with clear Claude Code/Codex migration, model setup and lightweight local tools

TypeSafe Jev for DeepSeek Harness, the Model Context Protocol, and plain Node: typed judgments instead of prose, offline by default.

Independent, source-backed handbook for DeepSeek AI's official DeepSeek Harness (dsh): agents, plugins, security, troubleshooting, and runbooks.

Turn PDF and EPUB books into cached AI analysis, Obsidian notes, and installable Codex/Claude Agent Skills through an open MCP server.

Bring ChatGPT’s reasoning to your local codebase. Work directly, or delegate larger tasks to DSH.

Jetson Nano edge AI vision Agent Harness: real-time video analytics, MCP tools, event evidence, DeepSeek online/offline, secure recovery

🛡️ Free open-source AI-powered security terminal & vulnerability scanner (CVE, SBOM). Supports SSH, SFTP, RDP, VNC, Serial, and 12+ autonomous AI agents (DeepSeek, OpenAI) for automated security workf

MCP server that turns the pi coding agent into a steerable background worker: delegate a task, redirect it mid-run, and keep its context out of your own.

MCP management console for the official DeepSeek Harness MCP client: /mcp command with health diagnostics and pipeline trial calls, a Settings MCP tab with server CRUD (approval-gated writes, automati

OOMOL Connector for DeepSeek Harness—discover connected apps and execute Actions through progressive MCP discovery without exposing provider credentials.

改配置+重启才能加 MCP？DeepSeek Harness (DSH) 插件「技能配置」解决：设置页粘贴 JSON 即连 MCP 服务器、热加载免重启；上传 zip/.skill 自动识别 SKILL.md，创建/编辑/启停技能，即点即用

MCP bridge that lets ChatGPT create, view, continue, and control DeepSeek Harness (DSH) agent sessions.

Manage DSH（DeepSeek Harness)） skills and MCP servers: CLI + settings-page UI with zh/en i18n, Claude/Codex import, and update checks.

Migrate your whole Claude Code or Codex setup into DeepSeek Harness (DSH) with one command. Import skills, slash commands, MCP servers, hooks, subagents, permission rules. 一键迁移导入 Claude Code 配置，从 Clau

现代化 DeepSeek Harness (DSH) 全栈增强工作台 · 多源 MCP 可视化调试中枢 · 视觉思考引擎 · 灵动极客伴侣

给你的 AI 一副身体，和一点人味 —— 会记事、会看场合的 QQ 陪聊 + 能控制安卓手机的 MCP

Vision-primitives MCP server for text-only LLMs: describe, locate (coordinates), OCR with bbox, annotate, crop, zoom, automated anomaly scanning, computer use — powered by Xiaomi MiMo V2.5. Single-fil

麦麦饱饱盘：官方套餐核价、圆盘选餐、DeepSeek 双 Agent 个性推荐与用餐热力图｜麦当劳创意开发大赛参赛作品（非官方）

dsh plugin for MCP status inspection and server management | dsh 的 MCP状态查看与服务管理插件

DeepDepCat — all-in-one AI desktop workbench: Code assistant + Depwork office automation. Homepage & releases. WPS Office MCP server included (open source).

Shrink MCP schema overhead in DeepSeek Harness: 1,000 remote tools behind 2 exact-schema interfaces, plus a local calculator and CI budget Action.

Standalone Agent Client Protocol (ACP) server for DeepSeek Harness with real-time streaming, reasoning trace, MCP tools, and session recovery.

Lazy MCP gateway for DeepSeek Harness: one stable proxy tool instead of N tool schemas, servers connect on first use and idle out, metadata cached to disk.

MCP-сервер для ИИ-агентов: агент — папка с prompt.md и config.toml, без пересборки и перезапуска. DeepSeek, OpenAI-совместимые API, Anthropic, Claude Code, Codex CLI, локальные модели; фоновые вызовы,

Spring AI vs LangChain4j vs SAA 三框架同台对比（配套篇2）

An MCP server and deterministic DOCX toolkit for AI agents—create, edit, validate, and render reliable Word documents with a local agent playground.

AI-native terminal & SSH client — built-in DeepSeek Harness to launch agents in TUI or embedded Web UI, plus SFTP, serial/Telnet and MCP server.

Zero-dependency webfetch MCP server for DeepSeek Harness and any MCP client: clean text / markdown / raw HTML / JSON, robots.txt compliance, chunked reading, SSRF protection.

Local MCP relay for cross-model agent teams. Your Claude, Codex, and other agents talk to each other over Unix sockets. No broker, no network, no accounts.

MCP server that gives an MCP host a working sub-agent whose brain can be any Anthropic-compatible model

Shared, brain-inspired memory for AI agents: 13 brain regions with awake/sleep loops, a live visualizer, agents connected via REST/SDK/MCP, governance & audit, and business-value metrics. Works with C