Exposes a Model Context Protocol (MCP) server over SSE/HTTP, enabling LLM agents to interact with live Zenoh networks.
Sponsored
Zenoh provides a bridge for AI agents to seamlessly integrate with Zenoh data distribution networks. It exposes a comprehensive set of 29 MCP tools, allowing LLMs to perform operations such as publishing data, subscribing to topics, querying data, and managing network resources. With features like per-client lifecycle management, access control, and a dual operating mode (as a zenohd plugin or standalone binary), it offers a robust solution for connecting intelligent agents to real-time distributed systems.
Key Features
01SSE transport supporting multiple concurrent MCP clients with isolated state
02Configurable access control via key expression regex filters
03Dual operating mode as a zenohd plugin or standalone bridge binary
0429 MCP tools for Pub/Sub, queries, subscriptions, and network discovery
051 GitHub stars
06Per-client lifecycle management for automatic cleanup of subscriptions and queryables
Use Cases
01Developing AI-powered applications that leverage distributed data exchange via Zenoh
02Connecting AI coding tools (e.g., Claude, Cursor, GitHub Copilot) to a Zenoh network
03Enabling LLM agents to monitor and interact with real-time data streams
