Conduct AI MCP server

<!-- mcp-name: io.github.sseshachala/conduct-cli -->

conduct-cli

Official CLI for Conduct AI — install AI agents, manage projects, run end-to-end tests, and enforce team AI policies with ConductGuard.

Runs on Linux, macOS, and Windows. Python 3.9–3.12.

Install

pip install conduct-cli

Quick start

# Authenticate (one-time)
conduct login \
  --server https://api.conductai.ai \
  --token cond_agt_xxx \
  --workspace <workspace-id>

# Browse available agents
conduct playbooks

# Create a project and install all agents in one shot
conduct install-all --project DevOps --repo owner/repo

# List installed agents
conduct agents

# Run a test trigger on any agent
conduct test "PR Reviewer"
conduct test --all

Commands

Authentication

Generate an agent token from Settings → Agents → Issue token in the Conduct AI dashboard. Tokens start with condagt and are stored as SHA-256 hashes — the plaintext is shown only once.

conduct login --server https://api.conductai.ai --token cond_agt_xxx --workspace <id>

Install all agents

# Installs all 12 playbooks into a project, pointed at your GitHub repo
conduct install-all --project DevOps --repo myorg/myrepo

If the project doesn't exist it's created automatically. Use --input key=value to override any playbook input.

Test agents

# Test a single agent (fires synthetic test payload, streams run events)
conduct test "Autopilot Quick"

# Test all playbook-based agents in sequence
conduct test --all

Exit code is 0 if all pass, 1 if any fail — works in CI.

ConductGuard

ConductGuard is AI tool fleet management — your security team sets policies once and they're enforced automatically across every developer's Claude Code, Cursor, and Windsurf session.

How it works

Admin configures policies and budgets in the Guard dashboard
    └─ developers are workspace members automatically — no invite step needed

Developer runs: conduct guard sync
    ├─ pulls latest policy to ~/.conductguard/policy.json
    ├─ writes PreToolUse hook → ~/.conductguard/hook.py
    ├─ registers hook → ~/.claude/settings.json
    └─ registers conductguard-mcp → ~/.claude/settings.json (mcpServers) + Codex

Every Claude Code tool call:
    ├─ PreToolUse hook fires (hook.py) → checks policy → block / warn / audit
    └─ Event posted async to ConductGuard API → visible in Activity feed

Developer setup

pip install conduct-cli

# Authenticate (already done if you use Conduct)
conduct login --server https://api.conductai.ai --api-key <api-key>

# Sync Guard — installs hook + MCP, pulls policies
conduct guard sync

That's it. Policy enforcement is active from the next tool call.

Guard commands

Shortened. The full README is on GitHub.