llmesh-mcp is an open-source CLI tool for orchestrating secure multi-LLM meshes over the Model Context Protocol (MCP), with a focus on industrial IoT and privacy. It supports anomaly detection, privacy gateways, and integrates with multiple LLM providers. Designed for engineers managing complex IoT and AI workflows.
In the Autonomous agents & workflows space, llmesh-mcp takes a focused approach. It focuses on orchestrating secure, privacy-preserving multi-LLM workflows for industrial IoT environments. llmesh-mcp is an open-source project aimed at industrial IoT engineers. The project is open source (MIT). llmesh-mcp is available on the command line, and it can be self-hosted.
Behind llmesh-mcp is furuse-kazufumi, and it first shipped in 2026. The project is developed in the open on GitHub with 354 commits in the last 90 days. Among its 7 catalogued features are multi-LLM mesh, Industrial IoT integration, and privacy gateway. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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