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Description from the maker (original English)
Expose the 5dive agent-fleet CLI (tasks, agents, digest) as MCP tools, over stdio or HTTP.
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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.
FIVEDIVE_SUDO, FIVEDIVE_BIN, FIVEDIVE_TIMEOUT_MSYou need
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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": {
"5dive": {
"command": "npx",
"args": [
"-y",
"@5dive/mcp"
],
"env": {
"FIVEDIVE_SUDO": "your-value",
"FIVEDIVE_BIN": "your-value",
"FIVEDIVE_TIMEOUT_MS": "your-value"
}
}
}
}Run this in your terminal
claude mcp add 5dive --env FIVEDIVE_SUDO=your-value --env FIVEDIVE_BIN=your-value --env FIVEDIVE_TIMEOUT_MS=your-value -- npx -y @5dive/mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.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"
}
}
}
}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": {
"5dive": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@5dive/mcp"
],
"env": {
"FIVEDIVE_SUDO": "your-value",
"FIVEDIVE_BIN": "your-value",
"FIVEDIVE_TIMEOUT_MS": "your-value"
}
}
}
}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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FIVEDIVE_SUDO envFIVEDIVE_BIN envFIVEDIVE_TIMEOUT_MS envThese 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 7, 2026
The registry name was verified with the GitHub account 5dive-ai, 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.
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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 (0.2.0) reached the registry 36 days ago.
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
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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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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