Olivetin

CI Python 3.11+ License: MIT Coverage PyPI

Community-maintained Python implementation. Not affiliated with or endorsed by the OliveTin project.

A hardened MCP server that exposes OliveTin actions as tools, with built-in human-in-the-loop approval for destructive operations.

One-liner (uvx + Claude Code)

claude mcp add olivetin -e OLIVETIN_URL=http://localhost:1337 -- uvx --from git+https://github.com/vaddisrinivas/olivetin-mcp.git olivetin-mcp

The Problem: AI Agents and the Trust Gap

AI agents (Claude, GPT, etc.) are increasingly capable of running shell commands and managing infrastructure. But there's a fundamental trust gap:

• Without approval gates, an agent can rm -rf /, restart production, or leak secrets — and you only find out after the damage is done.
• Without action discovery, agents guess at commands instead of using your pre-defined, parameterized, tested actions.
• Without audit trails, you can't answer "what did the agent do and why?"

Giving an AI agent a raw shell is like giving a new hire root access on day one. You wouldn't do it. Instead, you'd give them a runbook of approved actions and require sign-off for anything destructive. That's exactly what this project does.

OliveTin is the runbook — safe, parameterized shell actions with a web UI. olivetin-mcp is the bridge that lets AI agents use that runbook, with human approval built in.

Why OliveTin-MCP?

OliveTin lets you define shell commands as safe, parameterized actions with a web UI. olivetin-mcp bridges those actions into the Model Context Protocol so Claude (or any MCP client) can discover and execute them — with automatic human approval gates for anything destructive.

Without this bridge: Claude can't see or trigger your OliveTin actions. You'd need to manually copy-paste commands or build custom integrations.

With this bridge: Claude discovers all your actions automatically, validates arguments, and asks for human approval before running anything dangerous.

Approach	Pros	Cons
Direct shell via Claude	Simple, no setup	No action discovery, no approval gates, no audit trail
OliveTin Web UI alone	Built-in approval UI	No AI integration, manual operation only
OliveTin API directly	Full control	Manual auth, no MCP schema, no standardized discovery
olivetin-mcp (this)	Auto-discovery, approval chain, hardened container, MCP standard	Requires MCP client + OliveTin

How It Works

┌──────────────┐       SSE        ┌──────────────────┐      REST API      ┌──────────────┐
│  MCP Client  │ <──────────────> │   olivetin-mcp   │ ──────────────────> │   OliveTin   │
│ (Claude, etc)│    port 9003     │  (this server)    │    port 1337       │  (host)      │
└──────────────┘                  └──────────────────┘                     └──────────────┘
                                         │
                                         v
                                  ┌──────────────┐
                                  │  Approval UI  │
                                  │ /pending/:tok │
                                  └──────────────┘

1. Discovers OliveTin actions and registers each as an MCP tool
2. Classifies actions as read-only or destructive based on naming conventions
3. Gates destructive actions behind a two-step approval chain:
   • MCP native elicitation (inline dialog in Claude Code / Claude Desktop)
   • URL-based approval (human visits /pending/<token> to approve or deny)
4. Executes approved actions via the OliveTin REST API
5. Exposes resources for action catalogs, execution logs, and pending approvals

Features

• Comprehensive OliveTin API coverage (actions, logs, execution status, kill)
• Three authentication modes (reverse-proxy headers, JWT, HTTP Basic)
• Built-in static tools: brave_search, render_diagram, render_chart
• Rate limiting per action
• Structured logging with structlog
• Retry with exponential backoff via tenacity
• Security headers on all HTML responses
• /healthz health check endpoint

Requirements

• Python 3.11+
• OliveTin running and accessible — Installation guide | GitHub | Discord

Quick Start

One-liner (uvx + Claude Code)

claude mcp add olivetin -e OLIVETIN_URL=http://localhost:1337 -- uvx --from git+https://github.com/vaddisrinivas/olivetin-mcp.git olivetin-mcp

This installs and runs via stdio transport. For SSE (Docker), see below.

Docker (recommended for production)

docker build -t olivetin-mcp .
docker run -d \
  -p 9003:9003 \
  -e OLIVETIN_URL=http://host.docker.internal:1337 \
  olivetin-mcp

Docker Compose

A docker-compose.yml is included for running olivetin-mcp alongside OliveTin:

docker compose up -d

pip

pip install olivetin-mcp
python -m main

From source

git clone https://github.com/vaddisrinivas/olivetin-mcp.git
cd olivetin-mcp
pip install -e ".[test]"
python main.py         # stdio (for claude mcp add)
python main.py --sse   # SSE server on port 9003 (for Docker)

MCP Client Configuration

Claude Code (recommended)

# Via uvx (no install needed):
claude mcp add olivetin -e OLIVETIN_URL=http://localhost:1337 -- uvx --from git+https://github.com/vaddisrinivas/olivetin-mcp.git olivetin-mcp

# Or if installed locally:
claude mcp add olivetin -- olivetin-mcp

Claude Desktop

For SSE mode (Docker), add to your claude_desktop_config.json:

{
  "mcpServers": {
    "olivetin": {
      "url": "http://localhost:9003/sse"
    }
  }
}

Claude Code (SSE)

claude mcp add olivetin --transport sse http://localhost:9003/sse

Configuration

All configuration is via environment variables. Copy .env.example to .env to get started.

Variable	Default	Description
HOST_BRIDGE_PORT	9003	MCP SSE server port
OLIVETIN_URL	http://host.docker.internal:1337	OliveTin API URL
APPROVAL_TIMEOUT_SECS	120	Seconds to wait for approval decision
APPROVAL_BASE_URL	""	Public URL for approval links (e.g. https://bridge.example.com)
ELICITATION_TIMEOUT_SECS	30	MCP elicitation dialog timeout
SECRETS_DIR	/run/secrets	Docker secrets mount path
ACTION_REFRESH_INTERVAL_SECS	300	Action catalog refresh interval

Authentication

Pick one mode depending on your OliveTin setup:

Reverse-proxy headers (e.g. Authelia, Authentik):

OLIVETIN_REMOTE_USER=serviceaccount
OLIVETIN_REMOTE_GROUPS=admins,operators
OLIVETIN_USER_HEADER=X-Remote-User      # optional, default shown
OLIVETIN_GROUPS_HEADER=X-Remote-Groups   # optional, default shown

JWT bearer token:

OLIVETIN_JWT_TOKEN=eyJhbGci...
# or mount as /run/secrets/olivetin_jwt_token

HTTP Basic auth:

OLIVETIN_BASIC_USER=admin
OLIVETIN_BASIC_PASS=changeme

Security

This project is designed to be run as a hardened container:

• Non-root user (bridge:10001) with no login shell
• Stripped attack surface: all shells, network tools, and compilers removed
• No runtime pip: package manager removed after build
• Read-only filesystem: designed for read_only: true in Docker Compose
• Dropped capabilities: all Linux capabilities can be dropped
• Human-in-the-loop: destructive actions require explicit approval
• XSS protection: Jinja2 autoescape=True on all templates
• Cryptographic tokens: approval tokens via secrets.token_urlsafe(16)
• Security headers: X-Frame-Options, CSP, X-Content-Type-Options on all HTML responses
• SSRF protection: diagram specs checked for disallowed URI schemes

See SECURITY.md for vulnerability reporting and threat model.

MCP Tools

Dynamic (one per OliveTin action)

Each OliveTin action is registered as an MCP tool. Read-only actions (prefixed with [read-only] or ro_ binding ID) execute immediately. All others go through the approval chain.

Static

Tool	Description
list_olivetin_actions	List all actions with schemas and approval status
get_execution_logs	Recent execution history
get_execution_status	Status of a running execution
kill_action	Kill a running execution
reload_actions	Force refresh the action catalog
list_pending_approvals	Show pending approval queue
brave_search	Web search via Brave Search API
render_diagram	Render Mermaid/PlantUML/D2 diagrams
render_chart	Render charts via QuickChart

MCP Resources

URI	Description
olivetin://actions	Full action catalog (JSON)
olivetin://actions/{id}/help	Detailed action documentation
olivetin://logs	Recent execution history
olivetin://logs/{id}	Action-specific logs
olivetin://pending	Pending approval queue

Example OliveTin Actions

Here's how OliveTin actions map to MCP tools:

# In your OliveTin config.yaml
actions:
  # This action executes immediately (no approval) because of [read-only] prefix
  - title: "[read-only] Get Service Status"
    shell: docker ps --format 'table {{.Names}}\t{{.Status}}'

  # This action requires human approval before execution
  - title: Deploy Service
    shell: cd /srv/{{ service }} && docker compose pull && docker compose up -d
    arguments:
      - name: service
        type: ascii_identifier
        choices:
          - value: api
          - value: web
          - value: worker

FAQ / Troubleshooting

Q: Claude shows the action but gets "Could not reach OliveTin"

1. Verify OliveTin is running: curl http://your-olivetin:1337/api/GetDashboard -X POST -d '{}'
2. If using Docker, ensure network connectivity (use http://host.docker.internal:1337 on Docker Desktop, or the container network name in Docker Compose)
3. Check OLIVETIN_URL env var

Q: Actions require approval but I want some to be read-only

Prefix the action title with [read-only] or the binding ID with ro_ in your OliveTin config. The bridge automatically classifies these as safe.

Q: Approval links don't work / show "Not Found"

Set APPROVAL_BASE_URL to the publicly reachable URL of the bridge (e.g. http://192.168.1.10:9003). The default localhost only works when the browser is on the same machine.

Q: MCP client times out waiting for approval

The default approval timeout is 120 seconds. Increase APPROVAL_TIMEOUT_SECS if needed. The elicitation dialog (inline in Claude) times out after 30 seconds (ELICITATION_TIMEOUT_SECS) before falling back to URL-based approval.

Q: Actions aren't showing up in Claude

1. Check the bridge logs for actions_loaded — it should show the count
2. Run the reload_actions tool to force a refresh
3. Verify OliveTin has actions configured and they aren't marked hidden: true

Q: How do I use Brave Search?

Mount the API key as a Docker secret at /run/secrets/brave_api_key, or set BRAVE_API_KEY in your environment. Get a key at brave.com/search/api.

Risks and Limitations

• Single maintainer: Bus factor of 1. See GOVERNANCE.md for co-maintainer path.
• No end-to-end encryption: Communication between this bridge and OliveTin is HTTP by default. Use HTTPS in production or keep them on the same host/network.
• Approval UI is basic: The URL-based approval page has no authentication beyond the cryptographic token. Anyone with the link can approve/deny. Keep approval URLs private.
• Not a security boundary: This bridge adds an approval layer, but it trusts OliveTin's API. If OliveTin is compromised, the bridge can't protect you.
• Young project: This is v0.1.0. Expect rough edges. File issues.

Related Projects

• OliveTin — The automation platform this bridge connects to. Written in Go by James Read. Docs | Discord
• Model Context Protocol — The open standard for AI tool integration. Spec | GitHub
• FastMCP — The Python MCP framework this server is built on.
• OpenClaw — Another approach to AI agent orchestration (different architecture).

Background

The motivation: routing AI agents through OliveTin's pre-defined, parameterized actions is fundamentally safer than giving agents raw shell access. The approval chain ensures a human is always in the loop for anything destructive.

Development

# Install all extras
make install

# Run all CI checks locally
make ci

# Or individually:
make test     # pytest with coverage
make lint     # ruff check
make type     # mypy
make format   # auto-format

See CONTRIBUTING.md for more details, and ARCHITECTURE.md for codebase overview.

License

MIT