GitHub
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
Drive DeepSeek Harness (DSH) as a long-lived, resumable coding agent from any MCP client.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"dsh-any-agent": {
"command": "npx",
"args": [
"-y",
"dsh-any-agent"
]
}
}
}Run this in your terminal
claude mcp add dsh-any-agent -- npx -y dsh-any-agentPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"dsh-any-agent": {
"command": "npx",
"args": [
"-y",
"dsh-any-agent"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"dsh-any-agent": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"dsh-any-agent"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026
The registry name was verified with the GitHub account xmtlzzz, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.6.3) reached the registry yesterday.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Give any MCP client a coding buddy that sticks around.
[Website](https://dsh-any-agent.xmtlz.dev/) · English · 简体中文
Website · Quick start · Features · Tools · Live view · Usage notes · Changelog
🧪 0.6.2 offline suite green · 👀 new live call-chain view (watch / dashboard, with token usage) · 🔌 MCP over stdio · 📦 Zero dependencies · 📜 MIT
An MCP server that drives DeepSeek Harness as a long-lived coding agent. Hand it a goal, let it write code and run scripts, steer it mid-flight, and collect the result when you are ready.
Claude Code · Claude Desktop · Codex · Cursor · Windsurf · Zed · Gemini CLI · opencode · VS Code — or any client that speaks MCP over stdio.
You already have a coding agent in your editor. What you do not have is one that can:
DSH (DeepSeek Harness) can do all of that — it has file/shell tools, skills, subagents and workflows — but it is a GUI-first application. Its own sdk profile exposes only 3 requests and can't resume, cancel, or answer approvals.
This server is the missing adapter: it makes DSH into a *well-behaved background agent* that any MCP client can hire, supervise and collect from.
Think of it as
&job— like&in a shell, but for an agent.
| Capability | What you get |
|---|---|
| 🔄 A dead process never kills a conversation | The identity lives on disk. A crash, an idle reap, even restarting this whole server costs you nothing — the next call transparently resumes it, memory intact (verified across processes). |
| 🗣️ You are never stuck waiting | Steer a conversation mid-flight — interject to stop and redirect (~100 ms to reach idle, measured over four cancelled turns), or queue a remark for after the current turn. Interrupting never damages the conversation. |
| 📡 Completion notification, not polling | Long tasks return instantly with a run_id; when the turn ends, a sentinel file is written atomically so a background task in *your* host wakes you. No polling, no occupied turn. |
| 🪟 Many conversations at once | dsh_list(only_running) shows what's live; dsh_read gives cursor-based incremental output. Cycle between them like windows. |
| 👀 You can see it yourself | dsh-any-agent watch (terminal) or dsh-any-agent dashboard (local read-only web page) lays dispatched work out as a call chain — client → conversation → run → tool calls / approvals — with per-run tokens and context-window use, updating while the run is going. Separate processes, never touch the write lock, and show work from every client together. |
| 🧠 Reasoning hidden by default | You get "thought for N chars / M seconds" statistics instead of context-burning prose — and it is never logged, never written to disk. |
| 🤫 Silent by default | Not one byte on stderr, so nothing pollutes your host's logs. stdout carries the protocol and nothing else. |
| 🧩 Capabilities compose | DSH can mount its own MCP servers (IDA Pro, browsers, your internal tooling), so this is a bridge to a whole toolbox. |
| 🛡️ Read-only that really is read-only | read-only sandbox plus auto-denied approvals, for working on untrusted samples. |
| 🔎 Caller review, not blind relay | Every result carries a review ticket (checklist + evidence + dsh_review entry). The caller verifies with its own tools, then records pass / partial / fail. Advisory by default — it never blocks the next dispatch, and a failed review is not silently fed back to DSH. |
This server dispatches; it does not re-implement what DSH already does. The caller gives a goal, and DSH decides which tools, skills, subagents or team to use. Nothing from DSH's tool surface is proxied, duplicated or preloaded.
| Owned by DSH (this server stays out) | Owned by this server (dispatch semantics) |
|---|---|
| File I/O, shell, search, editing | Session identity and cross-crash resume |
| Skills, subagents, Agent Teams, task board | Async dispatch, receipts, completion sentinels |
| Model routing, sandbox, approval policy | Incremental read, interject, interrupt, live call-chain view |
| Memory/context/compaction | Approval bridge, write-lock governance, queue, inbox |
| worktrees (the agent creates them with git) | Setup, status, doctor, audit |
Dispatch on demand: dsh_send passes a goal, not a tool manifest, and the caller does not need to know DSH's tool list. The DSH agent picks what it needs — including capabilities added after this server was built (for example the experimental Agent Teams). This server does not grow one MCP tool per DSH feature.
Team mode (opt-in since 0.5.0): off by default. Run dsh-any-agent team on and reconnect; the profile switches to dsh-team (the experimental Agent Teams packages), and dsh_send then adds a short "form a team if this needs parallel or multi-role work" line; simple tasks are not forced into a team. Turn it off with dsh-any-agent team off, or for one call with dsh_send(team=false). The team profile disables the legacy subagent tools and replaces them with nine team tools; teammates share one workspace.
Only dispatch semantics become tools: start, send, read, get, review, interject, interrupt, approve, queue, inbox, status, release, takeover, doctor. No file I/O, no shell, no editor, no task board.
When to add something outside DSH: only when you need a *guarantee* rather than a *behavior* — for example, several top-level sessions editing the same repository need outer worktree isolation. For collaboration, prefer letting DSH run the team itself (mount the experimental team packages into the profile; teammates share one workspace).
Requires Node.js ≥ 22.15 and DSH installed with a working model route and credentials. See Requirements for details.
npm install -g dsh-any-agent
dsh-any-agent-setup dsh-any-agent-setup --yes
The second command previews the changes; --yes applies them. Reconnect your client's MCP server, then ask your agent to start a DSH conversation in your project, dispatch a task, and collect the result. The dispatch workflow shows the tool sequence.
Want to see it first? Watch the 54-second promo — dispatch, interject, the sentinel landing and the caller's review, with the terminal replayed from a real run:
Before your first task: read the Usage Notes, especially the model-config and external-MCP permission boundaries. External MCP tools bypass DSH's sandbox. For a fresh machine, follow the migration guide.
Full contents
| Tool | What it does |
|---|---|
dsh_start | Create a conversation: workspace, permission tier, approval policy, reasoning effort (default `max`), model |
dsh_send | Hand it a task. Defaults to `wait=false`: returns a `run_id` + `sentinel_file` immediately, the turn runs in the background and the sentinel file notifies you when it's done (recommended). wait=true blocks until the turn ends; hitting timeout_ms (default 0 = wait forever) only downgrades to background — the turn is never cancelled and the result is never lost |
dsh_list | All conversations with live state: running / idle / detached, elapsed time, current tool, output so far. only_running=true for active ones |
dsh_read | Cursor-based incremental read of what a *running* conversation is producing right now. The cursor is a revision number: an entry whose text grew since your last read reappears — match it by seq and replace its text, don't append again |
dsh_get | Conversation details; with run_id, the final result of that dispatch (the "collect the result later" entry point) plus its review ticket. Run records live in memory (last 20) — use the sentinel file after a restart |
dsh_review | Caller review. Submit pass / partial / fail for a completed run, with notes and optional findings. The verdict is written to /reviews/ / .review.json and back into the in-memory run and sentinel. Advisory by default: it never blocks the next dsh_send |
dsh_interject | Interject while it's busy: interject = stop and redirect, queue = wait for the current turn, then speak. This round writes a sentinel too, and the reply carries its sentinel_file. On an idle conversation it behaves like wait=true and blocks until the turn ends |
dsh_takeover | Preempt the write lock. The only way out when another DSH process holds it (DSH has no steal API — preempting means killing the holder). It classifies the holder first: our own orphaned child → taken automatically; another live instance → needs force; GUI/unknown → never killed, reported instead |
dsh_interrupt | Stop the current turn (the conversation stays healthy) |
| dsh_release | Hand th
Only the beginning is shown; read the rest in the repo