MCP server management for DeepSeek Harness: author composition rows, choose when an allowed server loads, and filter which of its tools a session may call
サービス連携 · 生産性ツール
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zhang-guo-wen/dsh-mcp-manager
MCP server manager for DeepSeek Harness: add, edit, enable and test stdio / Streamable HTTP MCP servers from the Web settings page and from agent tools, connected and disconnected at runtime without restarting DSH
Agent 連携 · サービス連携
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zhengjy01/dsh-mcp-manager
QQ Mail (and any IMAP/SMTP mailbox) for DeepSeek Harness: registers qqmail_* agent tools that list, search, read, send, reply to, flag and download mail through IMAP/SMTP with a QQ Mail authorization code (no OAuth, no 2FA redirect), plus a `qqmail` CLI and a `qqmail-mcp` stdio MCP server over the same core, and a web settings panel
Agent 連携 · 開発ツール · サービス連携
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zhengjy01/dsh-qqmail
DSH plugin: sidebar footer update button — compares the local deepseek-harness version with the remote, pulls and reinstalls when a newer version exists, with live progress.
インターフェース · サービス連携
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Zhucy123/dsh-update
DSH plugin: connect WeChat (official iLink/ClawBot) to DeepSeek Harness — settings page with live bridge status, QR device pairing, and the bundled bridge + keeper kernel.
サービス連携
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zhy5/dsh-wx-bridge
DSH plugin: connect WeChat (official iLink/ClawBot) to DeepSeek Harness — settings page with live bridge status, QR device pairing, and the bundled bridge + keeper kernel.
サービス連携
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zhy5/wxbridge
A headless-first macOS Computer Use driver for DeepSeek Harness with AX-first observations, window-bound multimodal evidence, host-owned approval, and evidence-backed action receipts
DeepSeek Harness plugin for the iOS Simulator — build, run, and interact with a live simulator stream inside a conversation. Tested with DSH 0.1.1-rc.1.
Agent 連携 · インターフェース · 開発ツール · サービス連携 · 生産性ツール
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Kickstartparty3459/dsh-ios
QA orchestrator plugin for DeepSeek Harness: an agent explores your app and leaves evidence, then the explored path replays deterministically. Drives the browser, macOS desktop, iOS and Android drivers.
Agent 連携 · インターフェース · 開発ツール · サービス連携 · 生産性ツール
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:ZSeven-W/dsh-qa
Let text-only models see images in DeepSeek Harness: intercepts the llm/stream waterfall and transparently substitutes each image with a vision model's description.
視覚ツール · サービス連携
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:zzdream67/dsh-vision-bridge
A vision bridge for text-only DeepSeek Harness models: registers an `analyze_image` tool that answers questions about images via ANY OpenAI-compatible vision/multimodal endpoint (SiliconFlow, DashScope, Zhipu, OpenRouter, Ollama, ...).
視覚ツール · サービス連携
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:CaseyTso/analyze_image_tool
A vision bridge for text-only DeepSeek Harness models: registers an `analyze_image` tool that answers questions about images via ANY OpenAI-compatible vision/multimodal endpoint (SiliconFlow, DashScope, Zhipu, OpenRouter, Ollama, ...).
視覚ツール · サービス連携
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:CaseyTso/dsh-analyze-image-tool
Windows computer use for DeepSeek Harness: an MCP stdio server + PowerShell UIA backend, bridged into DSH via @deepseek-ai/dsh-mcp-client. Read/act on real Windows desktop apps (UI Automation tree, screenshots, typed input, OCR, window management).
視覚ツール · インターフェース · サービス連携 · 生産性ツール
$ npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Yu-tao-Li/computer-use-win
What will your agent's context cost before it runs? Audit instruction files, skills, MCP tool schemas and memory per source — with duplicates, always-on versus on-demand costs, and a budget you can enforce in CI.