Heroku▌
by heroku
Securely manage and scale Heroku apps with our new OAuth-enabled MCP server. Simple integration with Agentforce 3.0 and
This new remote server is an expansion of our earlier stdio-based MCP server and comes with secure OAuth authentication. It’s designed to provide a secure, scalable, and incredibly simple way for agents to interact with the Heroku platform and use tools to perform actions such as creating a Heroku app from your favorite agents such as Claude, Agentforce, or Cursor. With Agentforce 3.0 announcing native support for MCP, you can bring Heroku Remote MCP Server to Agentforce.
github stars
★ —
best for
- / AI agents automating app deployment workflows
- / Developers using Claude/Cursor for Heroku operations
- / Agentforce 3.0 integrations with Heroku
capabilities
- / Create Heroku applications
- / Deploy applications to Heroku
- / Manage Heroku app configurations
- / Monitor application status
- / Scale Heroku dynos
what it does
Connects AI agents to Heroku platform via secure OAuth authentication to manage and deploy applications. Enables agents like Claude or Cursor to create and manage Heroku apps directly.
about
Heroku is an official MCP server published by heroku that provides AI assistants with tools and capabilities via the Model Context Protocol. Securely manage and scale Heroku apps with our new OAuth-enabled MCP server. Simple integration with Agentforce 3.0 and
how to install
You can install Heroku in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
license
MIT
Heroku is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
FAQ
- What is the Heroku MCP server?
- Heroku is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Heroku?
- This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
Heroku is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated Heroku against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: Heroku is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
Heroku reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend Heroku for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: Heroku surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
Heroku has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our notes, Heroku benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired Heroku into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
Heroku is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.