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Claude Context

Name: Claude Context
Author: zilliztech

Created by zilliztech

Enhances AI coding agents by providing semantic code search and deep context from an entire codebase.

How to Connect & Install

Select your client or environment below to copy the verified, ready-to-run installation configuration.

1-line autonomous agent setup instruction. Paste into Claude Code, Codex CLI, or Cursor Agent:

Fetch and configure Model Context Protocol (MCP) server Claude Context from https://www.fastmcp.dev/server/claude-context

Agents automatically discover, install, and execute the server spec without manual token setup.

Connect via direct Stateless MCP v2 / Streamable HTTP endpoint or JSON-RPC:

https://github.com/zilliztech/claude-context/tree/master/docs

Stateless edge endpoint compliant with MCP 2024-11-05 and v2 draft protocol specs.

Includes server instructions and tool definitions for Claude:

claude mcp add claude-context -- npx -y claude-context

Run in terminal to register server in current project or pass --scope user for global availability.

Configures server instructions and tools for OpenAI Codex & ChatGPT Desktop:

[mcp_servers.claude_context]
command = "npx"
args = ["-y","claude_context"]

Applies to ChatGPT Desktop app, Codex CLI, and IDE extension across your Codex host.

Add to Cursor project settings (.cursor/mcp.json) or Cursor Settings > Features > MCP:

{
  "mcpServers": {
    "claude-context": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "claude-context"
      ]
    }
  }
}

Commit to version control to allow teammates to connect immediately.

Install as an autonomous Agent Skill using the standard skills CLI:

npx skills add https://github.com/zilliztech/claude-context/tree/master/docs

Standard agent skill installer compatible with Claude Code, Cursor, and agy harnesses.

Server Guidance & Instructions OpenAI & Claude Spec Compliant

Claude Context: Enhances AI coding agents by providing semantic code search and deep context from an entire codebase. Key capabilities: Employs intelligent AST-based code chunking for better context relevance; Provides an entire codebase as semantic context to AI coding agents; Integrates with scalable vector databases (Milvus, Zilliz Cloud) and various embedding providers (OpenAI, VoyageAI, Ollama, Gemini).

Codex and Claude read this instruction prompt during initialization to orchestrate cross-tool workflows and rate limits.

Top Core Functions

01 Employs intelligent AST-based code chunking for better

02 An entire codebase as semantic context to

03 Utilizes incremental indexing with Merkle trees for