Enhance search accuracy by combining keyword and semantic techniques. Input weighted configurations to balance exact matches with context-aware results for optimized query responses.
Provides AI assistants with instant access to TypeScript type definitions from your project dependencies. Enables generation of complete, type-safe mocks and test data by automatically discovering and exposing interface structures from node_modules.
A Python MCP server that enables semantic search through Search Labs blog posts indexed in Elasticsearch, allowing Claude to intelligently retrieve relevant information from the blog content.
A service discovery and proxy for MCP servers that enables registration, discovery, and execution of tools on remote MCP servers. Uses vector-based similarity search through Alibaba Cloud services to intelligently route requests to appropriate MCP services.