What is Litmus MCP Server?
It is the official MCP server that lets LLMs and AI tools interact with Litmus Edge for device configuration, monitoring, and management.
@litmusautomation
Basic information
Official MCP server for configuring Litmus instances.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"litmus-mcp-server": {
"url": "http://<IP Address>:8000/sse"
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list directly from this server's endpoint using the button above.
The official Litmus Automation Model Context Protocol (MCP) Server enables LLMs and intelligent systems to interact with Litmus Edge for device configuration, monitoring, and management. It is built on the MCP SDK and targets developers and operators using Litmus Edge.
Run the server via Docker (docker run -d --name litmus-mcp-server -p 8000:8000 ghcr.io/litmusautomation/litmus-mcp-server:latest) to expose HTTP and SSE endpoints. Configure clients (Claude Desktop, Cursor, VS Code, Windsurf) with headers like EDGE_URL, EDGE_API_CLIENT_ID, and EDGE_API_CLIENT_SECRET. Optionally use the built‑in Web UI (port 9000) for zero‑client chat and environment management.
.env fileIt is the official MCP server that lets LLMs and AI tools interact with Litmus Edge for device configuration, monitoring, and management.
Use Docker: `docker run -d --name litmus-mcp-server -p 8000:8000 ghcr.io/litmusautomation/litmus-mcp-server:latest`. For the Web UI, also map port 9000 and set an LLM API key.
It supports Streamable HTTP (at `/mcp`), legacy HTTP+SSE (at `/sse`), and STDIO (for Claude Desktop).
Anthropic Claude, OpenAI, and Google Gemini. Provide API keys via environment variables (`ANTHROPIC_API_KEY`, `OPENAI_API_KEY`, `GEMINI_API_KEY`) or through the Web UI.
Mount a host file over `/app/.env` (e.g., `-v /opt/litmus-mcp/.env:/app/.env`). The host file must be created with `touch` before running the container.
The image is built for linux/AMD64. For ARM64 hosts, add `--platform linux/amd64` to the Docker run command.

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