cursor-relay-mcp
Related Servers
Alternatives to cursor-relay-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables durable, least-privilege handoff of bounded tasks from a local producer to a configured MCP worker, with atomic claim, complete, and fail operations under expiring leases.MIT
- 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
- FlicenseAqualityDmaintenanceEnables MCP clients to invoke Cursor SDK's agent runtime, run coding agents, list models, and continue conversations.4-
- AlicenseAqualityCmaintenanceEnables agents to submit and manage persistent, dependency-aware task graphs with immutable artifacts, resource reservations, durable event streaming, and retryable process execution over MCP.12MIT
- AlicenseNot gradedqualityCmaintenanceEnables MCP apps to manage durable, model-defined goal phases with persistent state, checkpointed progress, and safe resumption after interruptions or lost turns, ensuring elapsed time never implies completed business work.1MIT
- AlicenseDqualityCmaintenanceProvides MCP tools and hooks for agent coordination within Cursor workspaces, enabling claim-based scope management, compliance auditing, and production readiness checks.4MIT
TDQS
Scored across 10 tools
Each tool targets a distinct aspect of the run lifecycle: authorization, starting/reply runs, querying state, waiting, cancelling, listing, reading events, checking config, and discovering models. Even the similar start_run and reply_run are clearly separated by their purpose and description.
Most tools follow a clear verb_noun pattern (authorize_workspace, start_run, cancel_run, list_runs, read_events, list_models). 'doctor' breaks the pattern, but it's a single minor deviation; the overall style is consistent.
Ten tools is appropriate for a run-relay server; each tool has a clear role and the set covers the core workflow without unnecessary bloat.
The tools cover the full run lifecycle: create/reply (start_run, reply_run), read (get_run, list_runs, read_events), wait/cancel, plus prerequisite discovery (list_models) and diagnostics (doctor). The only minor gap is that events have a quantity limit with no pagination tool, but that's a practical constraint.