Heroku MCP server
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- AlicenseAqualityDmaintenanceProvides 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.8MIT
- AlicenseNot gradedqualityBmaintenanceEnables agent clients to safely connect to tools and execution resources through MCP with authorization, approvals, audit, chat-context isolation, SSH/Docker access, and long-running command session tracking.MIT

gaiadesk-mcpofficial
AlicenseNot gradedqualityAmaintenanceEnables AI assistants and MCP clients to execute commands, copy/move files, manage background jobs and port forwarding, and optionally view and control remote screens using scoped, expiring agent tokens.MIT
Anima MCP Serverofficial
AlicenseNot gradedqualityAmaintenanceEnables AI assistants to connect over streamable HTTP with bearer authentication to tools for agent lifecycle, email, phone, platform, vault, and browser extension management.2MIT- AlicenseAqualityBmaintenanceEnables MCP-compatible agents to deploy websites, migrate application backends, and operate continuous sync with Staticbot while keeping credentials and workflow state outside the model context.6359 npm1MIT
- FlicenseNot gradedqualityBmaintenanceEnables connecting a CLI agent to a team's shared workspace, providing secure authentication and access to workspace tools.-
TDQS
Scored across 33 tools
Most tools have distinct purposes targeting specific resources and actions, such as create_app vs. get_app_info. However, some PostgreSQL tools like pg_ps and pg_outliers have overlapping monitoring functions that could cause confusion, though their descriptions help differentiate them.
Tool names follow a highly consistent verb_noun or noun_verb pattern throughout, such as create_addon, list_addons, pg_backups, and ps_scale. All use snake_case uniformly, with clear prefixes like 'pg_' for PostgreSQL and 'ps_' for process-related tools, making the naming predictable and readable.
With 33 tools, the count is high and may feel heavy for the Heroku domain, as it includes many specialized PostgreSQL tools that could be consolidated. While comprehensive, it borders on being overwhelming compared to typical well-scoped servers (3-15 tools), though it covers a broad range of operations.
The tool set provides complete CRUD and lifecycle coverage for Heroku's core domains, including apps, add-ons, PostgreSQL, pipelines, and processes. It handles creation, retrieval, updates, deletion, and management operations across all areas, with no obvious gaps that would cause agent failures.