"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.

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.

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.

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 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.