cursor-mcp
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Alternatives to cursor-mcp
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- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to create and manage Cursor Cloud Agents that autonomously work on GitHub repositories, including creating tasks, monitoring progress, and automatically generating pull requests.77MIT
- AlicenseNot gradedqualityCmaintenanceEnables Claude to launch and manage Cursor Cloud Agents on GitHub repos, including polling status, sending follow-ups, and reading conversations/PRs.7MIT
- AlicenseNot gradedqualityBmaintenanceEnables Claude Code to delegate tasks to Cursor's headless agent, run adversarial reviews, and verify findings with prosecutor/advocate roles.86MIT
- AlicenseAqualityAmaintenanceEnables AI assistants to delegate specific tasks to specialized sub-agents (e.g., test-writer, code-reviewer). Supports both Cursor and Claude Code with custom agent definitions.144198MIT
- AlicenseNot gradedqualityCmaintenanceEnables programmatic control of Cursor's cloud-based AI agents for automated code generation and repository management via standardized MCP tools.156MIT
- AlicenseNot gradedqualityAmaintenanceEnables two-way delegation between Codex and Cursor agents with background jobs, handoff plans, and isolated worktrees, allowing either editor to offload investigation, review, planning, or implementation to the other and continue the same native session later.2Apache 2.0
TDQS
Scored across 23 tools
Most tools target distinct resources and actions, and the descriptions clearly separate list/get/inspect/wait/tail operations. A few clusters, especially around workspace controls and run inspection, could require close reading to pick the right tool, but none truly duplicate another.
All tools use the consistent cursor_<verb>_<object> pattern with lowercase snake_case. The only minor deviation is cursor_whoami, but it is a conventional verb-like command and does not disrupt the overall consistency.
23 tools is on the heavy side, but the domain is broad, covering identity, workspace controls, agents, runs, usage, artifacts, and environment definitions. Each tool has a distinct purpose, so the count feels slightly large rather than bloated.
The read/inspection side is thorough: identity, agents, runs, usage, artifacts, environment definitions, and health are well covered. However, there are no tools to launch, mutate, or cancel agents or runs, despite descriptions referencing launching cloud agents, and owner actions are only returned, not executed.