Eliminate context-switching. Use Heroku Managed Inference and MCP to bring AI-powered observability and natural language queries to your IDE.

Heroku offers insights into cloud application development, deployment, and management, providing documentation and best practices for deploying and scaling applications on the Heroku platform. By exploring Heroku's curated content, developers can learn about Heroku's containerized deployment model, continuous delivery workflows, and add-on ecosystem for extending application functionality. Whether you're deploying web applications, APIs, or background workers, Heroku offers resources to streamline your development workflow and focus on building great software.

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Heroku Managed Inference and Agents integrates observability platforms (Splunk, Honeycomb, Sentry) directly into your IDE using the Model Context Protocol (MCP). Instead of context-switching between dashboards during incidents, developers can query production logs, errors, and metrics using natural language from their code editor. The system exposes observability APIs as MCP tools, handles authentication and transport, and deploys as simple STDIO processes. This eliminates the need to learn platform-specific query syntax and keeps engineers in flow during debugging.

Building AI-Powered Observability with Heroku Managed Inference and Agents

Connecting telemetry to code for AI-powered observability

Deploying with Heroku Managed Inference and Agents

Why AI-native observability changes the game