Power Your AI Agents with Live Runtime Context
Lightrun MCP gives AI agents governed access to live runtime evidence to validate behavior, changes, and troubleshoot issues without redeploys.
Give AI Agents
live runtime context
AI agents gain visibility into code behavior at runtime
to validate changes and dependencies.
Proactive intelligence
AI agents detect missing runtime data and gather the evidence they need to work.
Deep inspection
AI agents access exact execution behavior across staging, canary, or production.
Zero friction
AI agents validate code directly without plugins or context switching between tools.
Enterprise ready
Runs on-prem or in the cloud, authenticated via SSO to act securely on your behalf.
"mcpServers": { "Lightrun": { "url": "https://your-lightrun-server-domain/mcp" } }
Lightrun.runtime.context.answer: { "accountService": "jdk.proxy2.Proxy124", "marketDataService": "jdk.proxy2.Proxy126", "fraudService": "com.stockdemo.tradeexecution.service.FraudService", "request": { "symbol": "NVDA", "type": "BUY", "quantity": 94, "price": null, "userId": "Stephen Schwarzman", "highValue": false }, "currentPrice": 131.39, "totalCost": null, "isValid": true, "account": null }
Trust your software.
See how it actually runs.
Systems fail under real inputs and scale. Lightrun provides live runtime context into
how code behaves across every environment.
Every environment Dev, QA, staging, production. Validate behavior where it actually runs.
Every architecture Kubernetes, serverless, monoliths. Instrument without modifying deployments.
Every pipeline See CI failures and flaky tests with dynamic runtime telemetry.
Safe. Secure. Enterprise ready.
Sandboxed investigations
Telemetry runs outside application execution paths. No redeploys. No thread pauses. No disruption.
Secure by design
Automatic redaction ensures instrumentation never exposes sensitive, protected data.
Enterprise governance
RBAC, SSO, and full audit trails enforce controlled access, deployment, and usage across teams.
AI code generation is fast.
Now make it reliable.
AI agents and engineers can inject dynamic logs, snapshots, metrics, and traces directly into running services
without code changes or redeployments.
Get instant runtime clarity
See real system behavior live and understand issues by capturing the actual conditions behind a failure instead of relying on reproductions or guesswork.
Validate behavior in real environments
Resolve issues in the environment where they occur without redeploying and accelerate debugging and validation.
- Remote runtime context for AI copilots
- Real-time debugging
- Dependency and feature validation
Strengthen releases
with runtime insights
Use live runtime data to refine signals, capture patterns that tests miss, and strengthen the reliability of every new release.
- Dynamic telemetry (Logs, Metrics, Traces, Snapshots)
- Code level insights