"Heroku" matching MCP servers:

Let's your agent access the heroku platform

Provides comprehensive Heroku application management through the Heroku Platform API for AI assistants using the Model Context Protocol. It enables users to scale dynos, view deployment history, access logs, and manage environment variables through natural language.

Enables AI models to interact with web pages through structured accessibility snapshots using Playwright. Deployable on Heroku for easy cloud hosting.

Enables AI agents to control and automate browser actions through an MCP server deployed on Heroku. Supports programmatic browser automation with natural language tasks across multiple LLM providers.

A token-efficient MCP server for the Heroku Platform API that uses a search-and-execute pattern to minimize context window overhead. It enables secure app management through just-in-time endpoint discovery and built-in safety guardrails for API mutations.

An MCP server for securely executing Python code, supporting STDIO, Streamable HTTP, and SSE transports, with easy deployment on Heroku.

Enables AI agents to interact with Salesforce CRM data by executing SOQL queries and managing records. It provides tools for object metadata discovery and record operations, specifically optimized for Heroku deployment.

Enables interaction with Zendesk Support for managing tickets, comments, and filtering via the Model Context Protocol. It allows LLMs to perform actions like creating, updating, and listing support tickets through natural language in a Heroku-native environment.

An MCP server that provides integration with Jira and Confluence for managing issues, boards, sprints, and documentation pages. It is specifically designed for native deployment on Heroku to enable AI models to interact with Atlassian resources using standardized tools.

Enables dynamic tool discovery and loading for Claude using BM25, regex, and semantic search algorithms. It supports managing a catalog of over 10,000 tools with minimal context overhead and provides a REST API for tool management.

Enables AI assistants to perform real-time web searches, company research, content crawling, LinkedIn searches, and deep research tasks using the Exa AI Search API. Can be deployed locally or on Heroku for remote access.

A template for creating custom tools for Cursor IDE using Model Context Protocol that allows users to deploy their own MCP server to Heroku and connect it to Cursor IDE.

Enables LLMs and AI agents to access real-time web data, search websites, and navigate the web without getting blocked. Includes 5,000 free monthly requests and supports web scraping, browser automation, and bypassing geo-restrictions.

A simple template for creating custom tools for Cursor IDE using Model Context Protocol, deployable via Heroku, Docker, or directly within Cursor IDE.

Enables AI coding agents to check repository deploy readiness, deploy apps to your own cloud (AWS, Google Cloud, Azure, DigitalOcean), and migrate apps from platforms like Heroku, Railway, Render, or Vercel with rollback.