Find relevant information across stored documentation using natural language queries. Returns ranked excerpts with context for specific details, code examples, or related documentation.
Discover content related to projects, tasks, or documents by identifying similar, dependent, linked, or recent items to enhance context and connections.
Find relevant documentation information using natural language queries. Search across stored documentation sources to locate specific details, code examples, or related content with ranked results.
Retrieve detailed todo checklist information including task context, completion status, assignee details, due dates, time tracking, and related attachments for specific items.
Claude Context is an MCP plugin that adds semantic code search to Claude Code and other AI coding agents, giving them deep context from your entire codebase.
Provides semantic code search capabilities that run 100% locally using EmbeddingGemma embeddings. Enables finding code by meaning across 15 file extensions and 9+ programming languages without API costs or sending code to the cloud.
Enables AI assistants to index and search codebases using semantic search powered by multiple embedding providers (OpenAI, VoyageAI, Gemini, Ollama) and vector database storage.