claude-context MCP Server
zilliztech/claude-context
Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
zilliztech/claude-context is a TypeScript tool licensed under MIT. Code search MCP for Claude Code. Make entire codebase the context for any coding agent. Topics: agent, agentic-rag, ai-coding, code-search, cursor, embedding, mcp, nodejs, openai, rag, semantic-search, typescript, vector-database, vibe-coding, voyage-ai, vscode-extension, merkle-tree, code-generation, claude-code, gemini-cli.
Ranked #8356 out of 24840 indexed tools.
Has 12,567 GitHub stars.
Has 27 contributors.
Ecosystem
Score Breakdown
12,567 stars → extremely popular
Last commit 2mo ago → moderate activity
63/208 issues closed → many open issues
27 contributors → active community
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
> 🆕 **Looking for persistent memory for Claude Code?** Check out [memsearch Claude Code plugin](https://github.com/zilliztech/memsearch#for-claude-code-users) — a markdown-first memory system that gives your AI agent long-term memory across sessions. ### Your entire codebase as Claude's context <a href="https://discord.gg/mKc3R95yE5"></a> <a href="https://trendshift.io/repositories/15064"></a> </div> **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. 🧠 **Your Entire Codebase as Context**: Claude Context uses semantic search to find all relevant code from millions of lines. No multi-round discovery needed. It brings results straight into the Claude's context. 💰 **Cost-Effective for Large Codebases**: Instead of loading entire directories into Claude for every request, which can be very expensive, Claude Context efficiently stores your codebase in a vector database and oRead full README on GitHub →
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