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Conduct AI MCP Server

local only

Conduct AI runs on your own machine — the client starts it, so there is no endpoint to ping. 1 719 installs a week from pypi. Last commit 13 Aug 2026.

List agents, trigger workflows, and enforce team AI policies with ConductGuard.

Installs per day peak 1 945 · avg 397 · +14% w/w
a month agotoday
1 719
Installs / week
pypi · conduct-cli
0
Stars
0 open issues
13 Aug 2026
Last commit
from GitHub
—
License
Python

What the code does

We read the source, 2 d ago · rules 995398eba69f

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

File ships in the package but is absent from the source [пакет] src/conduct_cli/hooks/copilot.py:1, [пакет] src/conduct_cli/credential_lock.py:1, [пакет] src/conduct_cli/guard_commands/__init__.py:1 и ещё 56
этот файл ставится пользователю, но в репозитории его нет
Runs a command on install [пакет] package.json:1
setup.py: выполняет код при установке пакета
    msg_dir = os.path.join(OPENCODE_DIR, "storage", "message", sid)
            dirs = sorted(claude_projects.iterdir(), key=lambda d: d.stat().st_mtime, reverse=True)

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add conduct-cli -- uvx conduct-cli
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "conduct-cli": {
      "command": "uvx",
      "args": [
        "conduct-cli"
      ]
    }
  }
}
~/.codex/config.toml
[mcp_servers.conduct-cli]
command = "uvx"
args = ["conduct-cli"]
.cursor/mcp.json
{
  "mcpServers": {
    "conduct-cli": {
      "command": "uvx",
      "args": [
        "conduct-cli"
      ]
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "conduct-cli": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "conduct-cli"
      ]
    }
  }
}

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Conduct AI — questions

Answers built from our own checks of this server.

Why is there no uptime for Conduct AI?
Conduct AI runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package conduct-cli was installed 1 719 times last week.
How do I connect Conduct AI?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls conduct-cli straight from pypi; nothing to host, nothing to sign up for.
How many people use Conduct AI?
The pypi package conduct-cli was installed 1 719 times in the last week. Week over week that is +14%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Conduct AI open source?
We cannot say either way: written in Python and 0 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.