Skill Detail

Search large codebases semantically from MCP-compatible coding agents with Claude Context

Use Claude Context when a coding agent needs targeted semantic retrieval from a very large repository instead of repeatedly loading folders or files into prompt context. It indexes code into a vector database and exposes code-search retrieval through MCP for Claude Code and other compatible agent clients.

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INSTALL WITH ANY AGENT
npx skills add agentskillexchange/skills --skill search-large-codebases-semantically-from-mcp-compatible-coding-agents-with-claude-context Copy
Works best when you want a reusable capability, not another fragile one-off prompt.
At a glance
Tools required
MCP-compatible coding agent; Node.js 20-23; OpenAI API key; Milvus or Zilliz Cloud vector database
Install & setup
Configure the MCP server in your client using the upstream package, for example `claude mcp add claude-context — npx @zilliz/claude-context-mcp@latest`, then provide the required OpenAI and Milvus/Zilliz credentials.
Author
Zilliz
Publisher
Organization
Last updated
Apr 25, 2026
Quick brief

Claude Context is an MCP-delivered semantic code search workflow for coding agents. It indexes a repository into a vector store and returns the most relevant code for a task, so the agent can navigate large codebases without repeatedly dumping whole directories into context.

How it works

What this skill actually does

Invoke this instead of using the product normally when the agent needs code-aware retrieval as part of an interactive coding loop, especially on large repositories where naive file reads are expensive or incomplete. The scope boundary is that the publishable skill is the agent-facing retrieval workflow through MCP, not a generic vector database, not a general code search product listing, and not just a package card.