Plugins

MCP gateway for dsh that connects each server on first use and disconnects it after an idle window; tool lists are cached on disk, existing mcpServers files can be imported, and child-process environment variables are scrubbed.

Scans MCP configurations from 13 local AI clients and from project workspaces, imports selected servers into the active DSH profile, and adds connection testing, in-place reconnect, JSON import and visual add, edit and removal controls.

DSH plugin: a settings panel to list, add, rewrite and toggle @deepseek-ai/dsh-mcp-client MCP rows — no more hand-writing them into cordis.patch.yml. Zero build, zero runtime dependencies.

One settings page for every MCP server on your machine. It reads the real config file of 17 other AI tools (Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, OpenCode, Trae, Trae CN, Qoder, Gemini CLI, Qwen, Zed, Roo Code, Copilot CLI, Kiro, CodeBuddy, Continue) plus DeepSeek Harness itself, groups servers by the file that declares them, probes each one over JSON-RPC to see whether it starts and which tools it exposes, and gives every server a switch that mounts or unmounts it in DeepSeek Harness without editing the other tools' own files.

MCP server manager for DSH: add, edit, enable and disable Model Context Protocol servers from a panel, with stdio and streamable-HTTP transports, per-server tool-call timeouts, live connection and tool-count status, and persistence to a project- or home-level mcp.json. Maintained fork of @wingsky-1/dsh-mcp-manager.

Exposes a stdio MCP server as native DeepSeek Harness tools. Ships with the official Microsoft Playwright MCP preset, so the agent browses through the Edge or Chrome you already have open, with your logins intact; any other stdio MCP command can be configured instead. Host-only, no client bundle, no npm dependencies. To drive your own browser, start Edge/Chrome with remote debugging and allow npx to fetch @playwright/mcp.

Connects an existing local CodeGraph CLI to each session's indexed project, shares one MCP process per project, and updates session-scoped tools when the working directory or index changes.

Semantic code search for DeepSeek Harness: registers two native tools, semble_search (find code by describing its behaviour, returning ranked file:line hits) and semble_find_related (neighbours of a known location), which run the Semble CLI via uvx, plus one bundled routing skill. Requires uv on PATH; the first query on a repository builds its index.

Connects the Drafta notes app to DeepSeek Harness over MCP, so the agent can search, read and write notes in your local Drafta library.

A launcher panel for DSH: manages the capability composer, the plugin inventory and the MCP bridge, and walks you through installing the browser tab-bridge extension.

Scans MCP configs from the tools it knows (28 built-in sources plus custom ones), syncs diffs into DSH, and lets you import, sync back, or edit MCP servers from the DSH sidebar.

Skills and MCP management console in the settings panel: merged skill catalog across every provider (hierarchical browse by source, online create/edit, independent model and user invocation switches, recoverable trash), GitHub install with multi-select batch install and update checks, MCP server add/edit/remove and enable/disable through the profile patch layer, cross-agent import from Claude Code, Cursor, Codex, Cline, Roo Code, Continue and Windsurf, and an independent SDK connection probe.

Guilduo MCP OAuth and native Settings UI for DeepSeek Harness

All-in-One MCP and skill manager with feature-based recognition and native OAuth 2.1 authentication.

Gitee Enterprise project management inside the conversation: issues, pull requests, kanban and the Gitee MCP toolchain.

Provides shared plan, context pickup, and progress update Skills through StateDock Remote MCP without executing tasks or scheduling agents; targets Harness 0.2.0-rc.2.

Adds an Assist button beside the composer send key. It scans the skills and MCP tools available in the session, ranks them against the text currently in the input box, and lets you inject the selected ones into the running conversation as a steering message.

Mounts the tsm-core-dlr semantic service (LanceDB vectors + graph) as MCP tools and ships the scenario-independent DLR/TSM modeling skill, a service-status overlay and the agent rules; the service is a hard dependency and must be running before the bundle activates.

Windows computer use for DeepSeek Harness: a persistent PowerShell UIA backend behind 16 merged MCP entries (read/click/type/observe/verify), a hardened policy layer (red lines, approvals, observation binding, point-ownership and focus guards) and a performance pass (prewarm, caching, pixel-hash stability probe). Fork of dsh-computer-use-win.

Read-only clinic for DSH session logs: 22 named diagnostics (token waste, retry and failure loops, context bloat, cross-session amnesia, idle MCP servers and skills), each reported with a replayable evidence locator such as session.v4.jsonl.zstd#L101-L110, and each finding turned into an executable prescription — a profile-patch YAML snippet or a command with current to suggested values, risk, verification and source — plus a feedback command that retires a prescription you reject, after which the report states it was removed by your feedback. Zero dependencies, default zero egress, session files are never written.

MCP manager for DeepSeek Harness Web: a Settings page beside Plugins that lists the MCP servers the running loader tree actually holds, each with its config summary, endpoint and live state, and disables or restores any of them through a paired-marker block in the profile's cordis.patch.yml. Env values, header values and `!!js` sources reach the page only as key names or dot-paths.

Search the documents and pictures in your Quberi knowledge base, browse its spaces and documents, save notes to it, and upload files into it with your approval for each one, from DeepSeek Harness over OAuth.

Adds three settings pages to DeepSeek Harness: add, edit, enable and remove MCP servers; write agent skills by hand or install them from a GitHub repository; and keep a library of global personas with one active.

Bridges DSH to a local MemVault store: core memory blocks injected into the system prompt, finished turns extracted through MemVault's own pipeline, and a panel to browse, trace, review and replay what was stored.