GitHub
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作者提供的说明(英文原文)
Expose the 5dive agent-fleet CLI (tasks, agents, digest) as MCP tools, over stdio or HTTP.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
FIVEDIVE_SUDO, FIVEDIVE_BIN, FIVEDIVE_TIMEOUT_MS你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"5dive": {
"command": "npx",
"args": [
"-y",
"@5dive/mcp"
],
"env": {
"FIVEDIVE_SUDO": "your-value",
"FIVEDIVE_BIN": "your-value",
"FIVEDIVE_TIMEOUT_MS": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add 5dive --env FIVEDIVE_SUDO=your-value --env FIVEDIVE_BIN=your-value --env FIVEDIVE_TIMEOUT_MS=your-value -- npx -y @5dive/mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"5dive": {
"command": "npx",
"args": [
"-y",
"@5dive/mcp"
],
"env": {
"FIVEDIVE_SUDO": "your-value",
"FIVEDIVE_BIN": "your-value",
"FIVEDIVE_TIMEOUT_MS": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"5dive": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@5dive/mcp"
],
"env": {
"FIVEDIVE_SUDO": "your-value",
"FIVEDIVE_BIN": "your-value",
"FIVEDIVE_TIMEOUT_MS": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
FIVEDIVE_SUDO envFIVEDIVE_BIN envFIVEDIVE_TIMEOUT_MS env这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过 GitHub 账户 5dive-ai 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.2.0)于36天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:GitHub, Desktop Commander, Cloudflare MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Expose the 5dive agent-fleet CLI as Model Context Protocol tools. Point any MCP client (Claude Desktop, Cursor, Cline, or your own) at this stdio server to file tasks, inspect and message agents, and read the fleet digest — directly from inside a model context.
5dive is the CLI + control plane for running a fleet of autonomous coding agents as a self-governing company. This server is a thin, honest adapter: every tool shells out to the local 5dive binary's machine-readable --json surface and returns the result — so it inherits the CLI's auth, permissions, and audit log for free, and never handles secrets itself.
| Tool | Wraps | What it does |
|---|---|---|
task_create | 5dive task add | File a task in the shared queue (title, body, priority, assignee, parent). |
task_show | 5dive task show | Full detail for one task by id (status, body, result, subtasks, blockers). |
task_list | 5dive task ls | List tasks (open by default; filter by status / assignee). |
agent_send | 5dive agent send | Send a message to another agent on the fleet. |
agent_list | 5dive agent list | List every agent: type, channels, model, live state. |
digest_get | 5dive digest | Fleet daily standup digest (window: "7d" for the weekly view). |
5dive CLI installed and on PATH (curl https://install.5dive.ai | sudo bash).npx @5dive/mcp # run directly
npm i -g @5dive/mcp && 5dive-mcp
{
"mcpServers": { "5dive": { "command": "npx", "args": ["-y", "@5dive/mcp"], "env": { "FIVEDIVE_SUDO": "1" } } } }
5dive-mcp serve (ChatGPT, OpenAI dots)A client that runs in someone else's cloud can't spawn a stdio process on your box. serve puts the same six tools behind MCP's Streamable HTTP transport, on loopback, for your reverse proxy to publish over HTTPS.
Using managed 5dive? You don't need this: connect to
https://api.5dive.com/mcpand sign in. See
# 1. Mint a token. It is printed once; only its hash is kept.
5dive-mcp token create --name=chatgpt # read-only 5dive-mcp token create --name=chatgpt --write # may also file tasks and message agents
FIVEDIVE_SUDO=1 5dive-mcp serve
Then point the client at it:
https://agents.example.com/mcp with Authorization: Bearer .https://agents.example.com/mcp/ .5dive-mcp token list shows the tokens; 5dive-mcp token revoke --name=chatgpt cuts one off, and a running server refuses it from the next request.
serve flag | Default | Purpose |
|---|---|---|
--listen | 127.0.0.1:8741 | Address to bind. A non-loopback address is refused unless you pass --allow-public-http. |
--path | /mcp | Mount point. |
--rate | 60 | Tool calls per token per minute. |
--write token can also file tasks (task_create) and message agents (agent_send). No token can answer a gate, change settings, spend money, or run anything outside those six CLI calls, each built as a fixed argv with no shell. Whatever sender the remote client claims is dropped: its messages arrive labelled mcp- , and its tasks say in their body which connection filed them.serve, plus root through sudo when FIVEDIVE_SUDO=1. The server only ever runs those six subcommands, but a compromised server process holds that user's rights, so run it as a dedicated user whose sudo grant covers only the 5dive binary.--rate), counted per JSON-RPC message: batches are refused before anything runs. Bodies over 1 MiB are refused.audit.jsonl: time, token name, tool, outcome, client IP (from X-Forwarded-For when the proxy is on loopback), and the ids and names involved. Message text and task bodies are never written.tokens.json (mode 0600) holds a SHA-256 of each token, never the token. Both files live in $FIVEDIVE_MCP_HOME, default ~/.config/5dive-mcp./mcp/*, or use header auth where the client supports it. Anyone holding the URL holds the token.serve refuses a public bind by default, because the token would cross the network unencrypted.Prefer no inbound port at all? OpenAI's Secure MCP Tunnel runs a small client next to the server and connects out to OpenAI. Its tunnel-client can launch the stdio server directly (--mcp-command "npx -y @5dive/mcp"), but it needs an OpenAI Platform organization with tunnel permissions.
| Var | Default | Purpose |
|---|---|---|
FIVEDIVE_BIN | 5dive | Path to the 5dive binary. |
FIVEDIVE_SUDO | *(unset)* | Set to 1 to prefix calls with sudo. Managed 5dive boxes require root for most subcommands; leave unset if you already run as root. |
FIVEDIVE_TIMEOUT_MS | 30000 | Per-call timeout in milliseconds. |
FIVEDIVE_MCP_HOME | ~/.config/5dive-mcp | Where serve keeps tokens.json and audit.jsonl. |
Arguments are passed to the CLI as an argv array with no shell, so tool input can never be interpreted as shell syntax. The server never sees secrets: the CLI reads its own credentials from the box.
This mirrors a curated slice of the CLI (tasks, agents, digest), not its full surface. It is a distribution and convenience layer, not a new API. For everything else, use the 5dive CLI directly (5dive --help). Full docs: https://5dive.ai/docs/5dive-cli
MIT