lcm2m-caddis-mcp

lcm2m-caddis-mcp

Enables read-only access to LCM2M Caddis VM2M API for equipment, runs, telemetry, alarms, etc., via MCP tools.

Category
Visit Server

README

lcm2m-caddis-mcp

An MCP server that exposes the LCM2M Caddis VM2M API to LLM tools like Claude Desktop, Claude Code, and Cursor. Read-only wrappers over equipment, runs, cycles, telemetry, alarms, and more — served as TOON so LLM context stays cheap.

Requirements

  • An LCM2M account (username and password)
  • Node.js 25+ or Docker

Use with an MCP client

The server speaks MCP over stdio and works with any MCP-compatible client — Claude Code, Claude Desktop, Cursor, Windsurf, VS Code (Copilot Chat), Zed, Continue, Cline, Goose, and others. Configure your client to launch npx -y @lcm2m/caddis-mcp with CADDIS_USERNAME and CADDIS_PASSWORD in its env. Concrete examples for the two most common config styles follow.

Claude Code (CLI)

claude mcp add caddis \
  --env CADDIS_USERNAME=you@example.com \
  --env CADDIS_PASSWORD='your-password' \
  -- npx -y @lcm2m/caddis-mcp

Claude Desktop, Cursor, and similar (JSON config)

Most clients accept an mcpServers block in a JSON config file — for example claude_desktop_config.json (Claude Desktop) or .cursor/mcp.json (Cursor):

{
  "mcpServers": {
    "caddis": {
      "command": "npx",
      "args": ["-y", "@lcm2m/caddis-mcp"],
      "env": {
        "CADDIS_USERNAME": "you@example.com",
        "CADDIS_PASSWORD": "your-password"
      }
    }
  }
}

Other clients (Windsurf, VS Code, Zed, Continue, Cline, etc.) use similar formats — consult your client's MCP docs for the exact config path and schema. Restart the client after editing config.

Configuration

Variable Default Description
CADDIS_USERNAME (required) LCM2M account username/email
CADDIS_PASSWORD (required) LCM2M account password
CADDIS_COMPANY_ID (auto) Required if your user belongs to multiple companies
CADDIS_MAX_RETRIES 3 Max 429 retries per request
CADDIS_MAX_RETRY_WAIT_MS 30000 Max total wait budget per request

Available tools

All tools are read-only and prefixed with caddis_. Each maps 1:1 to a VM2M route; responses are TOON-encoded (a compact, JSON-equivalent format mixing YAML-style nesting with CSV-style tables).

  • Company: get_company
  • Devices: list_devices, get_device
  • Equipment: list_equipment, get_equipment, get_equipment_utilization, get_equipment_schedule, get_equipment_cycles, get_equipment_statuslogs, get_equipment_telemetry, get_equipment_shift_history, list_equipment_excessive_downtimes, get_equipment_excessive_downtime
  • Org units / tree: get_org_unit, get_org_unit_schedule, list_org_unit_excessive_downtimes, get_tree
  • Alarms: list_alarms
  • Tags: list_tags, get_tag, list_tag_groups, get_tag_group
  • Runs: list_runs, get_run, get_run_cycles
  • Status reasons: list_status_reasons

Troubleshooting

  • Missing credentialsCADDIS_USERNAME / CADDIS_PASSWORD aren't reaching the child process. With docker run -e VAR, VAR must also be set in the parent shell.
  • This user belongs to multiple companies… — set CADDIS_COMPANY_ID to one of the numeric IDs listed in the error.
  • 401 Unauthorized — bad creds. Test with:
    curl -X POST https://api.lcm2m.com/vm2m/sessions \
      -H 'Content-Type: application/json' \
      -d '{"username":"you@example.com","password":"...","company_id":1}'
    
  • Persistent 429 — raise CADDIS_MAX_RETRY_WAIT_MS or back off the client's call rate.
  • Blank Inspector page in Firefox — use Chrome/Brave/Edge, or npx @modelcontextprotocol/inspector --cli ....

Alternative install

The MCP client examples above use npx. To run from Docker or a local clone instead, build using one of the methods below and swap the command/args in your client config.

Docker

git clone https://github.com/LCM2M/lcm2m-caddis-mcp.git
cd lcm2m-caddis-mcp
docker build --target runtime -t lcm2m-caddis-mcp .

Command string:

docker run -i --rm -e CADDIS_USERNAME -e CADDIS_PASSWORD lcm2m-caddis-mcp

Local Node

git clone https://github.com/LCM2M/lcm2m-caddis-mcp.git
cd lcm2m-caddis-mcp
npm install
npm run build

Command string: node /absolute/path/to/lcm2m-caddis-mcp/dist/index.js

How it works

  • Auth: first call hits POST /vm2m/sessions → JWT, cached and proactively refreshed 30s before expiry. 401 triggers a single re-login + retry. The Authorization header carries the raw JWT (no Bearer prefix).
  • Rate limiting: backend enforces 20 req/10s per endpoint and 60 req/10s per user. On 429, the client parses Retry-After, applies ±20% jitter, and retries up to CADDIS_MAX_RETRIES (capped by CADDIS_MAX_RETRY_WAIT_MS).
  • Response format: TOON — a token-efficient JSON dialect that mixes YAML-style nesting with CSV-style tables (~40% fewer tokens than JSON). The raw body is passed through, fenced as ```toon ... ``` so the model sees an unambiguous format boundary.
  • Errors: 4xx responses surface as isError: true tool results so the LLM can see the backend error body and recover; 5xx rethrow.

Development

# Create .env.local with CADDIS_USERNAME and CADDIS_PASSWORD (gitignored).
npm install
npm run dev                 # MCP Inspector web UI + tsx
npm test                    # node --test via tsx
npm run build               # tsc -> dist/
npm run typecheck
npm run lint                # biome check

npm run dev opens the MCP Inspector in a Chromium browser (Firefox has rendering issues). Edit source, click Restart, re-run the tool.

Project layout

src/
  index.ts         # MCP server entry (stdio)
  config.ts        # zod env config
  client.ts        # CaddisApiClient: login, retry, rate-limit
  tools/
    schemas.ts     # shared zod helpers + runTool error wrapper
    index.ts       # tool registration
    wrappers/      # 1:1 VM2M route wrappers
    composite/     # higher-level multi-call tools

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured