RunWhen Platform MCP
Related Servers
Alternatives to RunWhen Platform MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceEnables AI clients such as Claude, Cursor, VS Code, and Windsurf to manage workspaces, projects, tasks, AI agents, automations, and files via the Model Context Protocol, with hosted OAuth or local stdio options.1,244 npmMIT

Planwrightofficial
AlicenseNot gradedqualityCmaintenanceEnables AI coding agents and humans to collaborate on local, evidence-driven planning by exposing MCP tools for plan listing and binding, workflow catalog/run operations, and task tracking with human-reviewed decisions.2AGPL 3.0- AlicenseNot gradedqualityAmaintenanceConnects a workspace and project management platform to Claude, Cursor, VS Code, Windsurf, and other MCP clients, letting users list workspaces, create and manage projects and tasks, and build, train, and prompt AI agents. Also generates MCP tools from any OpenAPI spec.1,244 npmMIT
- AlicenseNot gradedqualityAmaintenanceEnables AI clients such as Claude, Cursor, VS Code, and Windsurf to list and manage workspaces, projects, tasks, AI agents, and automations through a hosted OAuth-secured endpoint or a local stdio package. Also generates MCP tools from any OpenAPI spec.1,244 npmMIT
- AlicenseNot gradedqualityAmaintenanceExposes a governed suite of 38 OAuth-gated tools over one MCP endpoint, letting web-based AI chat clients read and edit files, run whitelisted shell commands, search, and use Git, SQLite, browser automation, DevTools, background tasks, ports, clipboard, notifications, and localhost services on the user's own machine. It also allows local IDEs and automation tools to connect directly over localhost for offline, low-latency access.MIT
- AlicenseNot gradedqualityAmaintenanceEnables AI assistants like Claude, Cursor, VS Code, and Windsurf to manage workspaces, projects, tasks, and AI agents through natural language, with a hosted OAuth server or a local stdio package. Also supports generating MCP tools from any OpenAPI spec.1,244 npmMIT
TDQS
Scored across 47 tools
Most tools target distinct resources and actions, and the descriptions go out of their way to explain when to prefer workspace_chat over the raw JSON read tools (get_workspace_issues, get_workspace_slxs, search_workspace). Some residual overlap remains in the read/query cluster (search_workspace vs workspace_chat vs get_workspace_config_index) and among run_script vs run_script_and_wait vs run_slx, but the guidance largely resolves it.
Nearly all tools follow a predictable snake_case verb_noun pattern (get_*, list_*, create_*, update_*, delete_*, run_*, search_*). The main deviation is workspace_chat, which uses a noun_verb shape with no verb prefix, plus minor inconsistencies in the domain prefixing (get_workspace_chat_config vs list_chat_rules).
At 47 tools this is well past the point where a set feels heavy; several clusters could be consolidated (run_script + run_script_and_wait + get_run_status + get_run_output; the nine chat-rule/command tools; multiple overlapping workspace read tools). The domain is broad, but the surface is bloated beyond what each sub-area needs.
Coverage is strong: full CRUD for assistants, knowledge-base articles, and chat rules/commands, plus runs, registry, and discovery/codecollection workflows. Minor gaps exist (no create/update/delete for workspaces, only list_workspaces; no delete for chat rules) but the core lifecycles are represented.