Do I run anything locally?

For Heroku, yes — its server is a local stdio process that wraps the Heroku CLI, so you need the CLI and credentials set up. For Render, no — its server is an official remote endpoint, so the agent connects to Render's hosted MCP server with no local binary.

Can both manage a managed database?

Yes. The Heroku server can operate Heroku Postgres alongside other add-ons. The Render server can list, inspect, and create Postgres instances and key-value stores and run read-only SQL, plus surface logs and metrics.

Heroku vs Render

Heroku MCP and Render MCP both let an agent operate a platform-as-a-service — create apps, ship deploys, and manage the managed data behind them — but they differ in delivery and lineage. Heroku is the original git-push PaaS, now part of Salesforce, and its official Platform MCP server wraps the Heroku CLI so an agent can provision and deploy apps, scale and restart dynos, attach and manage add-ons, promote through pipelines, run one-off dynos, and operate Heroku Postgres. Render is the modern PaaS, and its official server runs as a remote endpoint: the agent selects a workspace, lists and inspects services, creates web services, static sites, and cron jobs, updates services and environment variables, follows deploys, and manages Postgres and key-value stores plus logs and metrics. The deciding question is whether you run on Heroku's dyno-and-add-on model via a CLI-wrapping local server, or on Render's service model via a hosted remote server. Here is a balanced look.

How they compare

Dimension	Heroku	Render
Delivery model	Local stdio server that wraps the Heroku CLI — it operates your account through the same CLI surface you would use by hand.	Official remote MCP server — no local binary; the agent talks to Render's hosted endpoint to manage infrastructure.
Compute abstraction	Dynos — list, scale, and restart dynos and run one-off dynos; the classic Heroku process model is front and center.	Services — create and update web services, static sites, and cron jobs, and follow their deployments.
Pipelines vs. workspaces	Pipelines: promote apps through stages, plus app lifecycle (create, rename, transfer) and maintenance mode.	Workspaces: select and inspect a workspace, then manage the services within it; deploys are listed and followed per service.
Managed data	Operate Heroku Postgres directly — inspect and query it — alongside attaching and managing other add-ons.	List, inspect, and create Postgres instances and key-value (Redis-style) stores, and run read-only SQL, plus logs and metrics.
Best-fit task	Teams on Heroku who want an agent to deploy, scale dynos, manage add-ons, promote pipelines, and operate Postgres via the CLI.	Teams on Render who want a remote agent to create and update services, follow deploys, and manage Postgres, key-value stores, and observability.

Verdict

Choose by your platform. Reach for Heroku MCP when you run on Heroku and want an agent that drives the platform through its CLI — deploying apps, scaling and restarting dynos, attaching add-ons, promoting pipelines, and operating Heroku Postgres. Reach for Render MCP when you run on Render and want a hosted remote agent to create and update web services, static sites, and cron jobs, follow deploys, and manage Postgres, key-value stores, logs, and metrics. In short: Heroku for dyno-and-pipeline operations via a CLI-wrapping local server; Render for service-and-workspace operations via an official remote server.

FAQ

Do I run anything locally?: For Heroku, yes — its server is a local stdio process that wraps the Heroku CLI, so you need the CLI and credentials set up. For Render, no — its server is an official remote endpoint, so the agent connects to Render's hosted MCP server with no local binary.
Can both manage a managed database?: Yes. The Heroku server can operate Heroku Postgres alongside other add-ons. The Render server can list, inspect, and create Postgres instances and key-value stores and run read-only SQL, plus surface logs and metrics.