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 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.
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.