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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. 2 185 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 2 593 · avg 592 · -21% w/w
a month agotoday
2 185
Installs / week
pypi · conduct-cli
0
Stars
0 open issues
13 Aug 2026
Last commit
0 releases in 90 days
License
Python

What the code does

We read the source, 17 h ago · rules 3dff92dd89df

Evidence

Things with no honest explanation: a promise that contradicts the code, code that runs at install time while hiding what it does, data leaving the machine.

Runs commands and sends data out [пакет] src/conduct_cli/main.py:78
    result = subprocess.run(
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.

    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.

We found things in this code

Code changes quietly between releases, and nobody reads the diff of a dependency. We do, on every release — watch Conduct AI and you get told the day something new turns up.

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": {
      "args": [
        "conduct-cli"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.conduct-cli]
command = "uvx"
args = ["conduct-cli"]
.cursor/mcp.json
{
  "mcpServers": {
    "conduct-cli": {
      "args": [
        "conduct-cli"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "conduct-cli": {
      "args": [
        "conduct-cli"
      ],
      "command": "uvx"
    }
  }
}

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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 2 185 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 with the file path 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 2 185 times in the last week. Week over week that is -21%. 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.