Two paths
Pick the path that fits your situation:| Path | Time | Best for |
|---|---|---|
| Local / dev | 60 seconds | Checking your own Claude/Cursor/VS Code setup |
| Production | 5 minutes | Monitoring remote MCP servers in a deployed stack |
Local / dev
You already use Claude Desktop, Cursor, or another MCP-enabled IDE. LangSight reads your existing config files and starts monitoring immediately.Step 1 — Install
Step 2 — Discover your servers
.langsight.yaml and immediately runs a first health check so you see results right away.
Step 3 — Health table
Step 4 — Scorecard
Production
You have MCP servers running as HTTP services (behind a load balancer, in Kubernetes, etc.). Define them in a YAML config and run LangSight via Docker.Step 1 — Write a config
${VAR} syntax are expanded at runtime — never put secrets in the YAML itself.
Step 2 — Start the stack
localhost:3002, API at localhost:8000).
Step 3 — Add servers later
You don’t have to restart Docker to add a server. Uselangsight add:
langsight add reference.
What’s next
Server Discovery
All 10+ IDE clients LangSight discovers. How to add servers manually with
langsight add.Health Monitoring
Health check protocol, status states, continuous monitoring daemon.
Schema Drift
Detect breaking and compatible tool schema changes before they cause failures.
Server Scorecard
A-F composite grade across availability, security, reliability, and performance.
Project scoping (optional)
The steps above work with no project configuration. When you are ready to integrate with the LangSight dashboard and share monitoring data with your team, you can scope all CLI output to a specific project using a project-scoped API key — no--project flag needed anywhere.
See Project Scoping when you reach that point.