Litmus MCP Server

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 top of the MCP SDK and adheres to the Model Context Protocol spec.

Table of Contents

• Quick Launch
  • Web UI
  • Persistent Configuration
  • Claude Code CLI
  • Cursor IDE
  • VS Code / Copilot
  • Windsurf
• STDIO - Claude Desktop
• Tips
• Tools
• Litmus Central

Quick Launch

Start an HTTP SSE MCP Server using Docker

Run the server in Docker (HTTP SSE only)

docker run -d --name litmus-mcp-server -p 8000:8000 ghcr.io/litmusautomation/litmus-mcp-server:latest

NOTE: The Litmus MCP Server is built for linux/AMD64 platforms. If running in Docker on ARM64, specify the AMD64 platform type by including the --platform argument:

docker run -d --name litmus-mcp-server --platform linux/amd64 -p 8000:8000 ghcr.io/litmusautomation/litmus-mcp-server:main

Web UI

The Docker image includes a built-in chat interface that lets you interact with Litmus Edge using natural language — no MCP client configuration required.

Start the server with both ports exposed:

docker run -d --name litmus-mcp-server \
  -p 8000:8000 -p 9000:9000 \
  -e ANTHROPIC_API_KEY=<key> \
  ghcr.io/litmusautomation/litmus-mcp-server:latest

• :9000 — Web UI (chat interface). Open http://localhost:9000 in your browser, add a Litmus Edge instance via the config page, and start chatting.
• :8000 — SSE endpoint for external MCP clients (Claude Desktop, Cursor, VS Code, etc.) — still available as normal.

Supported LLM providers: Anthropic Claude, OpenAI, and Google Gemini. Provide one or more keys at startup (ANTHROPIC_API_KEY, OPENAI_API_KEY, GEMINI_API_KEY) or enter them through the Web UI's setup screen. The active provider and model are switchable from the Web UI's config page at any time.

Multiple Litmus Edge instances: The Web UI lets you register and switch between multiple Litmus Edge devices from a single MCP server. Each instance keeps its own URL and OAuth2 credentials; the active instance's credentials are mirrored into EDGE_URL / EDGE_API_CLIENT_ID / EDGE_API_CLIENT_SECRET automatically. Manage instances under Config → Litmus Edge Instances, or check status per-instance from the Health page.

Live Litmus documentation as MCP Resources: The server exposes litmus://docs/<section> URIs that fetch live content from docs.litmus.io on demand, so MCP-aware clients can pull current reference material directly into the model's context.

If you deploy the MCP server and web client on separate hosts, set MCP_SSE_URL to point the web client at the server:

-e MCP_SSE_URL=http://<mcp-server-host>:8000/sse

Persistent Configuration

By default, configuration saved through the Web UI (API keys, Litmus Edge instances, model preferences, connection settings) is written to .env inside the container and is lost when the container is removed.

To retain configuration across container restarts and replacements, mount a host file over /app/.env:

# One-time setup — the host file must exist before docker run
mkdir -p /opt/litmus-mcp
touch /opt/litmus-mcp/.env

# Run with the volume mount
docker run -d --name litmus-mcp-server \
  -p 8000:8000 -p 9000:9000 \
  -v /opt/litmus-mcp/.env:/app/.env \
  ghcr.io/litmusautomation/litmus-mcp-server:latest

Any configuration you save in the UI is written to /opt/litmus-mcp/.env on the host. A new container started with the same -v flag will pick it up automatically on startup.

Note: The host-side file must be created with touch before running the container. If it does not exist, Docker creates a directory at that path and the application will fail to write configuration.

Docker Compose equivalent:

services:
  litmus-mcp-server:
    image: ghcr.io/litmusautomation/litmus-mcp-server:latest
    ports:
      - "8000:8000"
      - "9000:9000"
    volumes:
      - /opt/litmus-mcp/.env:/app/.env

Claude Code CLI

Run Claude from a directory that includes a configuration file at ~/.claude/mcp.json:

{
  "mcpServers": {
    "litmus-mcp-server": {
      "type": "sse",
      "url": "http://localhost:8000/sse",
      "headers": {
        "EDGE_URL": "${EDGE_URL}",
        "EDGE_API_CLIENT_ID": "${EDGE_API_CLIENT_ID}",
        "EDGE_API_CLIENT_SECRET": "${EDGE_API_CLIENT_SECRET}",
        "NATS_SOURCE": "${NATS_SOURCE}",
        "NATS_PORT": "${NATS_PORT:-4222}",
        "NATS_USER": "${NATS_USER}",
        "NATS_PASSWORD": "${NATS_PASSWORD}",
        "INFLUX_HOST": "${INFLUX_HOST}",
        "INFLUX_PORT": "${INFLUX_PORT:-8086}",
        "INFLUX_DB_NAME": "${INFLUX_DB_NAME:-tsdata}",
        "INFLUX_USERNAME": "${INFLUX_USERNAME}",
        "INFLUX_PASSWORD": "${INFLUX_PASSWORD}"
      }
    }
  }
}

Anthropic Docs

Cursor IDE

Add to ~/.cursor/mcp.json or .cursor/mcp.json:

{
  "mcpServers": {
    "litmus-mcp-server": {
      "url": "http://<MCP_SERVER_IP>:8000/sse",
      "headers": {
        "EDGE_URL": "https://<LITMUSEDGE_IP>",
        "EDGE_API_CLIENT_ID": "<oauth2_client_id>",
        "EDGE_API_CLIENT_SECRET": "<oauth2_client_secret>",
        "NATS_SOURCE": "<LITMUSEDGE_IP>",
        "NATS_PORT": "4222",
        "NATS_USER": "<access_token_username>",
        "NATS_PASSWORD": "<access_token_from_litmusedge>",
        "INFLUX_HOST": "<LITMUSEDGE_IP>",
        "INFLUX_PORT": "8086",
        "INFLUX_DB_NAME": "tsdata",
        "INFLUX_USERNAME": "<datahub_username>",
        "INFLUX_PASSWORD": "<datahub_password>"
      }
    }
  }
}

Cursor docs

VS Code / GitHub Copilot

Manual Configuration

In VS Code: Open User Settings (JSON) → Add:

{
  "mcpServers": {
    "litmus-mcp-server": {
      "url": "http://<MCP_SERVER_IP>:8000/sse",
      "headers": {
        "EDGE_URL": "https://<LITMUSEDGE_IP>",
        "EDGE_API_CLIENT_ID": "<oauth2_client_id>",
        "EDGE_API_CLIENT_SECRET": "<oauth2_client_secret>",
        "NATS_SOURCE": "<LITMUSEDGE_IP>",
        "NATS_PORT": "4222",
        "NATS_USER": "<access_token_username>",
        "NATS_PASSWORD": "<access_token_from_litmusedge>",
        "INFLUX_HOST": "<LITMUSEDGE_IP>",
        "INFLUX_PORT": "8086",
        "INFLUX_DB_NAME": "tsdata",
        "INFLUX_USERNAME": "<datahub_username>",
        "INFLUX_PASSWORD": "<datahub_password>"
      }
    }
  }
}

Or use .vscode/mcp.json in your project.

VS Code MCP Docs

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "litmus-mcp-server": {
      "url": "http://<MCP_SERVER_IP>:8000/sse",
      "headers": {
        "EDGE_URL": "https://<LITMUSEDGE_IP>",
        "EDGE_API_CLIENT_ID": "<oauth2_client_id>",
        "EDGE_API_CLIENT_SECRET": "<oauth2_client_secret>",
        "NATS_SOURCE": "<LITMUSEDGE_IP>",
        "NATS_PORT": "4222",
        "NATS_USER": "<access_token_username>",
        "NATS_PASSWORD": "<access_token_from_litmusedge>",
        "INFLUX_HOST": "<LITMUSEDGE_IP>",
        "INFLUX_PORT": "8086",
        "INFLUX_DB_NAME": "tsdata",
        "INFLUX_USERNAME": "<datahub_username>",
        "INFLUX_PASSWORD": "<datahub_password>"
      }
    }
  }
}

Windsurf MCP Docs

STDIO with Claude Desktop

This MCP server supports local connections with Claude Desktop and other applications via Standard file Input/Output (STDIO): https://modelcontextprotocol.io/legacy/concepts/transports

To use STDIO: Clone, edit config.py to enable STDIO, run the server as a local process, and update Claude Desktop MCP server configuration file to use the server:

Clone

# Clone 
git clone https://github.com/litmusautomation/litmus-mcp-server.git

Set ENABLE_STDIO to 'true' in /src/config.py:

ENABLE_STDIO = os.getenv("ENABLE_STDIO", "true").lower() in ("true", "1", "yes")

Run the server

# Run using uv 
uv sync
cd /path/to/litmus-mcp-server
uv run python3 src/server.py

# Otherwise
cd litmus-mcp-server
pip install -e .
python3 src/server.py

Add json server definision to your Claude Desktop config file:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "litmus-mcp-server": {
      "command": "/path/to/.venv/bin/python3",
      "args": [
        "/absolute/path/to/litmus-mcp-server/src/server.py"
      ],
      "env": {
        "PYTHONPATH": "/absolute/path/to/litmus-mcp-server/src",
        "EDGE_URL": "https://<LITMUSEDGE_IP>",
        "EDGE_API_CLIENT_ID": "<oauth2_client_id>",
        "EDGE_API_CLIENT_SECRET": "<oauth2_client_secret>",
        "NATS_SOURCE": "<LITMUSEDGE_IP>",
        "NATS_PORT": "4222",
        "NATS_USER": "<access_token_username>",
        "NATS_PASSWORD": "<access_token_from_litmusedge>",
        "INFLUX_HOST": "<LITMUSEDGE_IP>",
        "INFLUX_PORT": "8086",
        "INFLUX_DB_NAME": "tsdata",
        "INFLUX_USERNAME": "<datahub_username>",
        "INFLUX_PASSWORD": "<datahub_password>"
      }
    }
  }
}

Tips

For development, use Python Virtual environments, for example to bridge mcp lib version diffs between dev clients like 'npx @modelcontextprotocol/inspector' & litmus-mcp-server

{
  "mcpServers": {
    "litmus-mcp-server": {
      "command": "/absolute/path/to/litmus-mcp-server/.venv/bin/python",
      "args": ["/absolute/path/to/litmus-mcp-server/src/server.py"],
      "env": { /* same as above */ }
    }
  }
}

See claude_desktop_config_venv.example.json for the complete template.

Header Configuration Guide:

• EDGE_URL: Litmus Edge base URL (include https://)
• EDGE_API_CLIENT_ID / EDGE_API_CLIENT_SECRET: OAuth2 credentials from Litmus Edge
• NATS_SOURCE: Litmus Edge IP (no http/https)
• NATS_USER / NATS_PASSWORD: Access token credentials from System → Access Control → Tokens
• INFLUX_HOST: Litmus Edge IP (no http/https)
• INFLUX_USERNAME / INFLUX_PASSWORD: DataHub user credentials

Available Tools

40 tools across 8 categories. Tools accept structured arguments and return JSON.

Tool Use Notes

* NATS Topic Tools Requirements: To use get_current_value_from_topic and get_multiple_values_from_topic, you must configure access control on Litmus Edge:

1. Navigate to: Litmus Edge → System → Access Control → Tokens
2. Create or configure an access token with appropriate permissions
3. Provide the token in your MCP client configuration headers

** InfluxDB / Time Series Tools Requirements: To use any tool marked with ** (get_historical_data_from_influxdb, list_influxdb_measurements, get_device_historical_data, query_tag_data, get_tag_statistics, get_device_data_for_inference, get_device_connection_status), you must allow InfluxDB port access:

1. Navigate to: Litmus Edge → System → Network → Firewall
2. Add a firewall rule to allow port 8086 on TCP
3. Ensure InfluxDB is accessible from the MCP server host
4. Provide INFLUX_HOST, INFLUX_PORT, INFLUX_DB_NAME, INFLUX_USERNAME, INFLUX_PASSWORD in your MCP client headers

Litmus Central

Download or try Litmus Edge via Litmus Central.

MCP server registries

• Glama

• MCP.so

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