Provides access to Jina AI's Search Foundation APIs for embeddings, web search, content extraction, reranking, classification, and semantic text segmentation.
A foundation layer for building production-grade Model Context Protocol (MCP) servers with base classes, documentation, and consistent implementation patterns.
A TypeScript template for building Model Context Protocol servers that provides a structured foundation with automated tools, testing, and synchronization capabilities.
A foundation for building custom local Model Context Protocol (MCP) servers that provide tools accessible to AI assistants like Cursor or Claude Desktop.
A streamlined foundation for building Model Context Protocol servers in Python, designed to make AI-assisted development of MCP tools easier and more efficient.