A bridge that converts Pilot Protocol operations into MCP tools for seamless AI agent integration in Claude Code and OpenClaw.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pilot-mcp-bridge
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install pilot-mcp-bridge using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Pilot MCP Bridge?
The Pilot MCP Bridge acts as a specialized adapter that translates the decentralized networking capabilities of the Pilot daemon into the Model Context Protocol (MCP) format. By utilizing this within your Openclaw Skills collection, you enable AI agents to perform complex peer-to-peer operations, identity management, and pub/sub messaging directly through a standardized interface. This bridge effectively lowers the barrier for LLMs to interact with low-level decentralized protocols, providing a structured way to manage network identities and data transmission.
Pilot MCP Bridge Use Cases
- Exposing decentralized networking operations as actionable tools for AI agents.
- Integrating peer-to-peer communication and messaging into Claude Code or OpenClaw workflows.
- Facilitating discovery and lookup of network nodes during automated agent research tasks.
- Building multi-agent systems that require a secure, daemon-backed communication bridge for inter-node data exchange.
How Pilot MCP Bridge Works
- The Pilot daemon is initialized using the pilotctl binary on the host system to establish a connection to the decentralized network.
- The Pilot MCP Bridge server starts, wrapping the command-line interface of pilotctl into MCP-compliant tool definitions.
- The AI agent connects to the MCP server, discovering tools for identity, communication, discovery, and pub/sub.
- When a tool is invoked by the agent, the bridge executes the corresponding pilotctl command with JSON output flags enabled.
- The bridge parses the technical output into a clean format and returns it to the agent, enabling real-time network interaction within the Openclaw Skills environment.
Pilot MCP Bridge Setup
Ensure you have the pilot-protocol skill and the pilotctl binary installed and available in your system PATH. The daemon must be active before starting the bridge.
# Start the Pilot daemon with registry and beacon nodes
pilotctl --json daemon start --registry 34.71.57.205:9000 --beacon 34.71.57.205:9001
# Install the necessary MCP Python framework
pip install mcp
# Run the bridge server to expose tools to your agent
python mcp_pilot_server.py
Pilot MCP Bridge Data Schema & Taxonomy
The bridge utilizes JSON output from the pilotctl binary to ensure structured data delivery. Below is the mapping of core functionalities:
| Functional Area | MCP Tool | Data Returned |
|---|---|---|
| Identity | pilot_info | Node ID, hostname, and connectivity status |
| Communication | pilot_send_message | JSON confirmation of message delivery |
| Discovery | pilot_find | Peer address and node metadata |
| Pub/Sub | pilot_subscribe | Subscription status and topic metadata |
| Gateway | pilot_gateway_map | Hostname to local IP mapping details |
Pilot MCP Bridge Advanced Features
- Multi-node discovery via pilot_find and pilot_lookup for mapping complex decentralized topologies.
- Real-time gateway management to bridge local services with decentralized hostnames via the gateway_map tool.
- Support for high-concurrency pub/sub patterns within automated agentic workflows using Openclaw Skills.
- Comprehensive JSON output parsing that maintains strict type safety across all tool execution cycles.
SKILL.md
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