Highway MCP
Related Servers
Alternatives to Highway MCP
No user-submitted related servers found.
Related Servers
AlicenseNot gradedqualityCmaintenanceEnables LLM agents to execute gated, multi-step workflows in a fixed order, with engine-checked tasks and controlled stage unlocking. It exposes workflow state, task completion, and human approval controls through MCP.4 npmMIT- AlicenseNot gradedqualityBmaintenanceEnables AI agents to discover, execute, and inspect actions across business systems through three compact MCP tools, backed by server-side policy, single-use human approvals, and durable idempotent execution that prevents duplicate side effects.1MIT
- AlicenseNot gradedqualityBmaintenanceEnables MCP clients to run declarative agents and DAG workflows as plain tools, with parallel nodes, review loops, and per-run least-privilege sandboxing.13 npmMIT
- AlicenseNot gradedqualityBmaintenanceEnables MCP agents to run, continue, observe, check status of, and abort bounded GUI automation tasks through a shared local runtime with visual detection and deterministic input.Apache 2.0
- AlicenseAqualityDmaintenanceEnables any MCP client to drive a multi-agent orchestration engine with planning, specialist tools, critic revision, and human-in-the-loop approval for sensitive actions.3MIT
- AlicenseNot gradedqualityNot gradedmaintenanceEnables users to submit goals via MCP so a host agent can generate scripts, coordinate subagents, monitor execution stages, recover interrupted runs, and deliver reusable artifacts.6 npmMIT
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: 'approve' handles pending actions, 'get_status' tracks run progress, 'run_goal' starts a new run, and 'schedule_goal' sets up recurring runs. No overlap or ambiguity.
Three tools follow a clear verb_noun pattern (get_status, run_goal, schedule_goal), but 'approve' omits the noun. The pattern is mostly consistent and readable, with a minor deviation.
Four tools is well-scoped for the server's purpose of managing durable agent runs with approvals. Each tool is essential and the set is concise without being sparse.
The tools cover starting, scheduling, checking status, and approving runs, but missing cancellation or deletion capabilities (e.g., cancel_run, delete_schedule) are notable gaps that agents may need.