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Compare AI models, estimate costs, and generate production-ready code in your IDE.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ArchitectGBT MCP Server" yet — see the docs or source repo.
I am selecting a model for a customer support chatbot. It needs strong Chinese performance, low latency, and controlled cost. Compare suitable models and recommend the best options with reasons.
A comparison of candidate models, pros and cons, cost-performance tradeoffs, and a final recommendation.
Please estimate model costs for this app: 20,000 requests per day, average input 1,500 tokens, output 300 tokens, and provide daily and monthly cost ranges.
Detailed cost estimates across different models, with notes on the main cost drivers.
Generate a production-ready model integration template for a Node.js project, including environment variable loading, error handling, retries, and basic logging.
Sample code ready to integrate into a project, along with the required configuration notes.
Delegate coding, shell tasks, and codebase queries to Cursor AI.
Build, push, and deploy apps to IBM Code Engine via MCP.
Build, debug, and manage software tasks with natural language across LLMs.
Connect coding agents to multiple models for in-chat consultation and code review.
Give AI coding agents long-term memory, search, and organization across sessions.
Manage Cursor agents with budget controls, monitoring, and inbox messaging.