Find code by meaning using semantic search with natural language queries. Combines AI understanding with text matching to locate relevant snippets, handling typos and variations.
Find code by meaning using semantic understanding combined with exact text matching. Search with natural language queries like 'authentication logic' or 'database queries' to locate relevant snippets with file locations and line numbers.
Retrieve detailed metadata for a specific metric, including its type, description, unit, and attributes, to understand its meaning and proper usage within the Datadog MCP server for monitoring and tracing.
Enables AI-powered generation, customization, and documentation of its-just-ui React components. Provides tools for component generation, theme management, form creation, responsive layouts, and accessibility guidance.
A headless browser MCP server that allows AI agents to fetch web content and perform Google searches without API keys, supporting various output formats like Markdown, JSON, HTML, and text.