Heroku vs Vercel
Heroku and Vercel are both platform-as-a-service hosts with official MCP servers, but they sit on opposite sides of the backend-versus-frontend divide. Heroku's Platform MCP server wraps the Heroku CLI so an agent can operate your account end to end: provision and deploy apps, scale and restart dynos, attach add-ons, promote through pipelines, toggle maintenance mode, read app logs, run one-off commands on temporary dynos, and operate Heroku Postgres with a deep set of pg_* tools (psql, info, ps, locks, outliers, backups, upgrade, and more). Vercel's server is built around the frontend deployment lifecycle: search docs, list teams and projects, inspect a project's framework and domains, list deployments and read both build and runtime logs, check or buy domains, mint shareable links for protected deployments, and read and reply to Toolbar comments. So Heroku gives an agent broad backend operations including a database, while Vercel focuses on shipping and debugging frontend projects. Here is how they compare.
How they compare
| Dimension | Heroku | Vercel |
|---|---|---|
| Workload focus | Backend apps and services: git-push-to-deploy, dynos, add-ons, pipelines, and one-off commands — full app lifecycle operations. | Frontend and edge deployments: projects, deployments, domains, and the build/runtime debugging loop for web apps. |
| Database operations | Deep Heroku Postgres tooling — pg_psql, pg_info, pg_ps, pg_locks, pg_outliers, pg_credentials, pg_kill, pg_maintenance, pg_backups, and pg_upgrade. | No database provisioning — the server centers on projects, deployments, logs, and domains. |
| Lifecycle control | Create, rename, transfer, and deploy apps; ps_list/ps_scale/ps_restart for dynos; maintenance on/off; pipelines create/promote/list/info; deploy one-off dynos. | List and inspect deployments, read build and runtime logs, manage domains (including check and buy), and mint protected-deployment access links. |
| Deployment and auth | Local stdio via npx -y @heroku/mcp-server with a HEROKU_API_KEY, or the bundled `heroku mcp:start` (CLI 10.8.1+) that reuses your existing CLI session so no key is needed. | Hosted at mcp.vercel.com over OAuth — nothing to install; point an OAuth-capable client at the URL. In public beta, with human confirmation recommended. |
| Best-fit task | An agent that operates backend apps — scaling dynos, managing add-ons and pipelines, and running Postgres maintenance and backups. | An agent that ships and debugs frontend deployments — reading logs, managing domains, and acting on review comments. |
Verdict
Choose by what you host. Pick Heroku when an agent needs to operate backend apps and a database: deploy and scale dynos, manage add-ons and pipelines, run one-off commands, and perform deep Heroku Postgres work like backups, locks inspection, and upgrades — and you like that it can reuse your existing CLI session with no API key. Pick Vercel when the work is frontend deployments and you want a focused ship-and-debug agent over OAuth: reading build and runtime logs, managing domains, and handling Toolbar comments, with nothing to install. Heroku is the broad backend operator with first-class Postgres; Vercel is the frontend deployment and debugging specialist. A team with a Vercel frontend and Heroku backend can run both side by side.
FAQ
- Which can manage a Postgres database?
- Heroku. Its server exposes an extensive pg_* toolset for Heroku Postgres — psql access, info, locks, outliers, credentials, kill, maintenance, backups, and upgrades. Vercel's server focuses on frontend deployments, logs, and domains rather than databases.
- Does Heroku's server need an API key?
- Not necessarily. You can run it via npx with a HEROKU_API_KEY, or use the bundled `heroku mcp:start` command (Heroku CLI 10.8.1+) which reuses your existing CLI session, so no separate API key is required. Vercel uses OAuth at mcp.vercel.com.