olivetin-mcp
A hardened MCP server that exposes OliveTin actions as tools with built-in human-in-the-loop approval for destructive operations.
README
olivetin-mcp
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 │
└──────────────┘
- Discovers OliveTin actions and registers each as an MCP tool
- Classifies actions as read-only or destructive based on naming conventions
- 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)
- Executes approved actions via the OliveTin REST API
- 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
/healthzhealth 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: truein Docker Compose - Dropped capabilities: all Linux capabilities can be dropped
- Human-in-the-loop: destructive actions require explicit approval
- XSS protection: Jinja2
autoescape=Trueon all templates - Cryptographic tokens: approval tokens via
secrets.token_urlsafe(16) - Security headers:
X-Frame-Options,CSP,X-Content-Type-Optionson 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"
- Verify OliveTin is running:
curl http://your-olivetin:1337/api/GetDashboard -X POST -d '{}' - If using Docker, ensure network connectivity (use
http://host.docker.internal:1337on Docker Desktop, or the container network name in Docker Compose) - Check
OLIVETIN_URLenv 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
- Check the bridge logs for
actions_loaded— it should show the count - Run the
reload_actionstool to force a refresh - 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
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