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Get intelligent model recommendations for tasks and repositories in Cursor.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ModelRouter MCP" yet — see the docs or source repo.
Analyze my current task: refactor an authentication module in a TypeScript Node.js project, and recommend the most suitable LLM model. Explain the reasoning, including code understanding, long context, speed, and cost trade-offs.
A task analysis plus recommended models for the coding task with clear selection rationale.
Analyze this repository: a multilingual codebase with Python, Go, and Terraform, many modules, and complex dependencies. Recommend a model mix for code search, refactoring, and infrastructure changes based on the repo structure.
A repository analysis summary and suitable model combinations for different types of work.
I need to handle large code review tasks in Cursor. Compare several candidate models by accuracy, context length, response speed, and cost, then provide a primary recommendation and a backup option.
A structured model comparison and final recommendation to support fast selection decisions.
Compare AI models, estimate costs, and generate production-ready code in your IDE.
Delegate coding, shell tasks, and codebase queries to Cursor AI.
Build, debug, and manage software tasks with natural language across LLMs.
Manage Cursor agents with budget controls, monitoring, and inbox messaging.
Manage GitHub repositories, pull requests, issues, and workflows with natural language.
Route prompts intelligently, optimize AI costs, and track team usage in Cursor.