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Improvado's MCP server gives your AI agent direct access to Heroku data. Query app performance, dyno utilization, deployment history, and spend — in plain English, without running heroku CLI commands or digging through dashboards.
Ask your AI agent for app metrics, dyno counts, deployment history, error rates, and add-on costs — across all apps and pipelines. The MCP server handles all Heroku Platform API calls.
Your AI agent reads harmonized data across 500+ platforms. "Cost" in Google Ads and "spend" in Meta Ads resolve to the same field automatically.
Your AI agent can scale dynos, trigger releases, restart apps, and update config vars. The MCP server translates natural language into Heroku Platform API operations.
250+ governance rules enforce naming conventions, budget limits, and KPI thresholds. SOC 2 Type II certified.
Set up watches on error rates, dyno counts, and monthly spend. Your AI agent monitors Heroku apps continuously and alerts teams before errors escalate or costs go over budget.
Automated weekly reports, anomaly flagging, and budget alerts — all from a single conversation. No more morning check-ins across 5 dashboards.
Your AI agent can scale dynos, trigger releases, restart apps, and update config vars. The MCP server translates natural language into Heroku Platform API operations.
Every phase runs through the same MCP connection. One protocol, all platforms, full governance. No switching between tools.
Diagnosing H-errors on Heroku means SSH access, CLI tools, and log parsing — skills not every team member has. When an app degrades, getting answers requires developer involvement even for questions that don't need code changes.
Improvado's MCP server makes Heroku log and error data queryable via AI. Any team member can ask about error patterns, restart history, or dyno health — no CLI access required.
Dyno scaling decisions are made without visibility into cost implications. Teams discover over-provisioned apps or runaway add-on spend at the end of the month — too late to course-correct.
Improvado tracks Heroku spend data in real time. AI agents can surface cost by app, pipeline, or add-on — and alert teams when spend is tracking above budget before the billing cycle closes.
Understanding whether faster deployments correlate with higher error rates requires joining deployment logs with error metrics — data that lives in different parts of the Heroku dashboard and requires manual analysis.
Improvado normalizes Heroku deployment and error data into a unified model. AI agents can correlate deployment frequency with error rates across apps and pipelines — instantly.
Same MCP connection, different workflows for every team member. Agency CEOs get portfolio health. Media Strategists get campaign QA. Analysts get cross-platform reports. Account Managers get auto-generated QBR decks. Creative Directors get performance-based briefs.
Each role asks in natural language. The MCP server handles the complexity — rate limits, auth, schema normalization, governance — behind the scenes.
Heroku does not publish an official MCP server. Improvado provides a hosted MCP server that connects Heroku to Claude, Cursor, and other AI tools — with pre-built authentication and support for apps, pipelines, dynos, and add-ons.
App metrics, dyno usage and cost, deployment history, error logs (H-errors, R-errors), config vars, pipeline status, and add-on spend. Improvado normalizes all Heroku Platform API data for AI queries.
Any MCP-compatible tool: Claude Desktop, Cursor, Windsurf, ChatGPT, and custom applications. Claude is most commonly used due to native MCP support and strong reasoning over infrastructure and operational data.
Yes. Through the MCP server, AI agents can scale dynos, restart apps, promote releases across pipelines, and update config vars. Write operations use your Heroku API credentials managed securely in Improvado.
Improvado stores all API credentials in an encrypted vault under SOC 2 Type II certification. Your AI agent queries Heroku through Improvado's secure proxy — no credentials are exposed to the model.
Yes. Improvado connects 500+ data sources through the same MCP server. Query Heroku app metrics alongside Datadog, PagerDuty, or business analytics — and get a unified view of infrastructure and product health in one conversation.
Connect your data to an AI agent in under 60 seconds. The closed loop starts with one conversation.
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