Bootstrap Model Context Protocol (MCP) servers and clients in TypeScript with best practices, examples, and proper tooling setup.
No documentation available.
Bring the full power of BrowserStack’s Test Platform to your AI tools, making testing faster and easier for every developer and tester on your team.
Access and interact with Harness platform data, including pipelines, repositories, logs, and artifact registries.
Manage Buildkite pipelines and builds.
Create crafted UI components inspired by the best 21st.dev design engineers.
Gru-sandbox(gbox) is an open source project that provides a self-hostable sandbox for MCP integration or other AI agent usecases.
A local-first code indexer that enhances LLMs with deep code understanding. It integrates with AI assistants via the Model Context Protocol (MCP) and supports AI-powered semantic search.
Work on dataset metadata with MLCommons Croissant validation and creation.
Predict anything with Chronulus AI forecasting and prediction agents.
Advanced computer vision and object detection MCP server powered by Dino-X, enabling AI agents to analyze images, detect objects, identify keypoints, and perform visual understanding tasks.
Run and manage docker containers, docker compose, and logs