Claude Context
Provides semantic code search and indexing using vector embeddings and AST-based code splitting, enabling natural language queries
Claude Context MCP server by Zilliz provides AI assistants with semantic code search and indexing capabilities using vector embeddings and AST-based code splitting. The implementation integrates with multiple embedding providers (OpenAI, VoyageAI, Gemini, Ollama) and vector databases (Zilliz Cloud, local Milvus) to create searchable code indexes that enable natural language queries across codebases, with automatic file filtering based on extensions and ignore patterns. Built with TypeScript and supporting both VSCode extension and standalone MCP modes, it includes comprehensive evaluation framework showing 39% token usage reduction compared to grep-only approaches while maintaining equivalent retrieval quality, making it valuable for developers working with large codebases who need efficient semantic code discovery and AI-assisted code understanding workflows.
Source
Repository: https://github.com/zilliztech/claude-context
Maintain Claude Context?
Let people know it's listed here — add the badge (live metrics, light/dark aware) or a plain link to your README or docs.
[](https://getagentictools.com/mcp/zilliztech-claude-context?ref=badge) Related mcp
Assistant UI The MCP server tools have been designed to allow an agent to query the specific information it needs to complete an assistant-ui r
PraisonAI Multi-agent framework with self-reflection capabilities
Airweave Search Search Airweave collections with natural language queries.
WhatsApp Bridge Provides a secure bridge to your WhatsApp account, enabling message search, contact management, and sending capabilities while kee
Mastra Docs Provides AI assistants with direct access to Mastra.ai's complete knowledge base.
n8n Integrates with n8n workflow automation platform to provide conversational access to 525+ nodes including AI-capable nodes and tri