8 boosters for "code-generation" — open source, verified from GitHub, ready to install
Kubb's MCP server enables AI assistants like Claude to generate type-safe code directly from OpenAPI specifications, automating API client creation for TypeScript/JavaScript developers.
This Cursor rule enforces grammatically correct article usage (a, an, the) in code comments to improve readability and professionalism. It benefits developers and teams who prioritize code quality and documentation standards.
Launch background tasks for parallel execution. Enables concurrent work on independent tasks with result aggregation. Launch a background task or manage running tasks. Start a new background task:
Payload MCP is an MCP server that integrates AI assistants with Payload CMS projects, enabling automated code generation, scaffolding, and validation tasks. It's ideal for Payload CMS developers looking to accelerate development workflows with AI-powered assistance.
PrismBench enables developers to create specialized LLM agents through YAML configuration for comprehensive benchmarking and evaluation of language model capabilities. Teams building AI evaluation systems and ML testing pipelines benefit from its systematic Monte Carlo Tree Search approach and containerized deployment.
PrismBench enables developers to create specialized LLM agents through YAML configuration for systematic evaluation of model capabilities using Monte Carlo Tree Search. Useful for ML engineers, researchers, and teams building production LLM systems who need comprehensive benchmarking and evaluation frameworks.
Mcp Tool Factory generates MCP servers from natural language, OpenAPI specs, databases, GraphQL, and ontologies, supporting 10+ LLM providers. Developers building AI agents and tool ecosystems benefit from automated server generation without manual boilerplate.
An MCP server that exposes the Windmill API through Claude, enabling developers to programmatically interact with Windmill workflows, scripts, and infrastructure directly from Claude. Useful for automation engineers and DevOps teams who want to manage Windmill resources via AI.
