SkillAgentSearch skills...

claude-context

Code search MCP for Claude Code. Make entire codebase the context for any coding agent.

Install / Use

npx skills add zilliztech/claude-context

Installs into whichever agent you are using.

About this skill
🤖

CLAUDE.md

Claude Code project instructions

Quality Score

94/100

Supported Platforms

Claude Code
Cursor
Gemini CLI

🆕 Looking for persistent memory for Claude Code? Check out memsearch Claude Code plugin — a markdown-first memory system that gives your AI agent long-term memory across sessions.

Your entire codebase as Claude's context

License Node.js Documentation VS Code Marketplace npm - core npm - mcp Twitter DeepWiki <a href="https://discord.gg/mKc3R95yE5"><img height="20" src="https://img.shields.io/badge/Discord-%235865F2.svg?style=for-the-badge&logo=discord&logoColor=white" alt="discord" /></a> <a href="https://trendshift.io/repositories/15064"><img src="https://trendshift.io/api/badge/repositories/15064" alt="zilliztech/claude-context | Trendshift" width="250" height="55" /></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 only uses related code in context to keep your costs manageable.


🚀 Demo

img

Model Context Protocol (MCP) allows you to integrate Claude Context with your favorite AI coding assistants, e.g. Claude Code.

Quick Start

Prerequisites

<details> <summary>Get a free vector database on Zilliz Cloud 👈</summary>

Claude Context needs a vector database. You can sign up on Zilliz Cloud to get an API key.

Copy your Personal Key to replace your-zilliz-cloud-api-key in the configuration examples.

</details> <details> <summary>Get OpenAI API Key for embedding model</summary>

You need an OpenAI API key for the embedding model. You can get one by signing up at OpenAI.

Your API key will look like this: it always starts with sk-.
Copy your key and use it in the configuration examples below as your-openai-api-key.

</details>

Configure MCP for Claude Code

System Requirements:

  • Node.js >= 20.0.0

Configuration

Use the command line interface to add the Claude Context MCP server:

claude mcp add claude-context \
  -e OPENAI_API_KEY=sk-your-openai-api-key \
  -e MILVUS_ADDRESS=your-zilliz-cloud-public-endpoint \
  -e MILVUS_TOKEN=your-zilliz-cloud-api-key \
  -- npx @zilliz/claude-context-mcp@latest

See the Claude Code MCP documentation for more details about MCP server management.

Other MCP Client Configurations

<details> <summary><strong>OpenAI Codex CLI</strong></summary>

Codex CLI uses TOML configuration files:

  1. Create or edit the ~/.codex/config.toml file.

  2. Add the following configuration:

# IMPORTANT: the top-level key is `mcp_servers` rather than `mcpServers`.
[mcp_servers.claude-context]
command = "npx"
args = ["@zilliz/claude-context-mcp@latest"]
env = { "OPENAI_API_KEY" = "your-openai-api-key", "MILVUS_TOKEN" = "your-zilliz-cloud-api-key" }
# Optional: override the default 10s startup timeout
startup_timeout_ms = 20000
  1. Save the file and restart Codex CLI to apply the changes.
</details> <details> <summary><strong>Gemini CLI</strong></summary>

Gemini CLI requires manual configuration through a JSON file:

  1. Create or edit the ~/.gemini/settings.json file.
  2. Add the following configuration:
{
  "mcpServers": {
    "claude-context": {
      "command": "npx",
      "args": ["@zilliz/claude-context-mcp@latest"],
      "env": {
        "OPENAI_API_KEY": "your-openai-api-key",
        "MILVUS_TOKEN": "your-zilliz-cloud-api-key"
      }
    }
  }
}
  1. Save the file and restart Gemini CLI to apply the changes.
</details> <details> <summary><strong>Qwen Code</strong></summary>

Create or edit the ~/.qwen/settings.json file and add the following configuration:

{
  "mcpServers": {
    "claude-context": {
      "command": "npx",
      "args": ["@zilliz/claude-context-mcp@latest"],
      "env": {
        "OPENAI_API_KEY": "your-openai-api-key",
        "MILVUS_ADDRESS": "your-zilliz-cloud-public-endpoint",
        "MILVUS_TOKEN": "your-zilliz-cloud-api-key"
      }
    }
  }
}
</details> <details> <summary><strong>Cursor</strong></summary>

Go to: Settings -> Cursor Settings -> MCP -> Add new global MCP server

Pasting the following configuration into your Cursor ~/.cursor/mcp.json file is the recommended approach. You may also install in a specific project by creating .cursor/mcp.json in your project folder. See Cursor MCP docs for more info.

{
  "mcpServers": {
    "claude-context": {
      "command": "npx",
      "args": ["-y", "@zilliz/claude-context-mcp@latest"],
      "env": {
        "OPENAI_API_KEY": "your-openai-api-key",
        "MILVUS_ADDRESS": "your-zilliz-cloud-public-endpoint",
        "MILVUS_TOKEN": "your-zilliz-cloud-api-key"
      }
    }
  }
}
</details> <details> <summary><strong>Void</strong></summary>

Go to: Settings -> MCP -> Add MCP Server

Add the following configuration to your Void MCP settings:

{
  "mcpServers": {
    "code-context": {
      "command": "npx",
      "args": ["-y", "@zilliz/claude-context-mcp@latest"],
      "env": {
        "OPENAI_API_KEY": "your-openai-api-key",
        "MILVUS_ADDRESS": "your-zilliz-cloud-public-endpoint",
        "MILVUS_TOKEN": "your-zilliz-cloud-api-key"
      }
    }
  }
}
</details> <details> <summary><strong>Claude Desktop</strong></summary>

Add to your Claude Desktop configuration:

{
  "mcpServers": {
    "claude-context": {
      "command": "npx",
      "args": ["@zilliz/claude-context-mcp@latest"],
      "env": {
        "OPENAI_API_KEY": "your-openai-api-key",
        "MILVUS_ADDRESS": "your-zilliz-cloud-public-endpoint",
        "MILVUS_TOKEN": "your-zilliz-cloud-api-key"
      }
    }
  }
}
</details> <details> <summary><strong>Windsurf</strong></summary>

Windsurf supports MCP configuration through a JSON file. Add the following configuration to your Windsurf MCP settings:

{
  "mcpServers": {
    "claude-context": {
      "command": "npx",
      "args": ["-y", "@zilliz/claude-context-mcp@latest"],
      "env": {
        "OPENAI_API_KEY": "your-openai-api-key",
        "MILVUS_ADDRESS": "your-zilliz-cloud-public-endpoint",
        "MILVUS_TOKEN": "your-zilliz-cloud-api-key"
      }
    }
  }
}
</details> <details> <summary><strong>VS Code</strong></summary>

The Claude Context MCP server can be used with VS Code through MCP-compatible extensions. Add the following configuration to your VS Code MCP settings:

{
  "mcpServers": {
    "claude-context": {
      "command": "npx",
      "args": ["-y", "@zilliz/claude-context-mcp@latest"],
      "env": {
        "OPENAI_API_KEY": "your-openai-api-key",
        "MILVUS_ADDRESS": "your-zilliz-cloud-public-endpoint",
        "MILVUS_TOKEN": "your-zilliz-cloud-api-key"
      }
    }
  }
}
</details> <details> <summary><strong>Cherry Studio</strong></summary>

Cherry Studio allows for visual MCP server configuration through its settings interface. While it doesn't directly support manual JSON configuration, you can add a new server via the GUI:

  1. Navigate to Settings → MCP Servers → Add Server.
  2. Fill in the server details:
    • Name: claude-context
    • Type: STDIO
    • Command: npx
    • Arguments: ["-y", "@zilliz/claude-context-mcp@latest"]
    • Environment Variables:
      • OPENAI_API_KEY: your-openai-api-key
      • MILVUS_ADDRESS: your-zilliz-cloud-public-endpoint
      • MILVUS_TOKEN: your-zilliz-cloud-api-key
  3. Save the configuration to activate the server.
</details> <details> <summary><strong>Cline</strong></summary>

Cline uses a JSON configuration file to manage MCP servers. To integrate the provided MCP server configuration:

  1. Open Cline and click on the MCP Servers icon in the top navigation bar.

  2. Select the Installed tab, then click Advanced MCP Settings.

  3. In the cline_mcp_settings.json file, add the following configuration:

{
  "mcpServers": {
    "claude-context": {
      "command": "npx",
      "args": ["@zilliz/claude-context-mcp@latest"],
      "env": {
        "OPENAI_API_KEY": "your-openai-api-key",
        "MILVUS_ADDRESS": "your-zilliz-cloud-public-endpoint",
        "MILVUS_TOKEN": "your-zilliz-cloud-api-key"
      }
    }
  }
}
  1. Save the file.
</details> <details> <summary><strong>Augment</strong></summary>

To configure Claude Context MCP in Augment Code, you can use either the graphical interface or manual configuration.

A. Using the Augment Code UI

  1. Click the hamburger menu.

  2. Select Settings.

  3. Navigate to the Tools section.

  4. Click the + Add MCP button.

  5. Enter the following command:

    npx @zilliz/claude-context-mcp@latest
    
  6. Name the MCP: Claude Context.

  7. Click the Add button.


B. Manual Configuration

  1. Press Cmd/Ctrl Shift P or go to the hamburger menu in the Augment panel
  2. Select Edit Settings
  3. Under Advanced, click Edit in settings.json
  4. Add the server configuration to the mcpServers array in the augment.advanced object
"augment.advanced": { 
  "mcpServers": [ 
    { 
      "name": "claude-context", 
      "command": "npx", 
      "args": ["-y", "@zilliz/claude-context-mcp@latest"],
      "env": {
        "OPENAI_API_KEY": "your-openai-api-key",
        "MILVUS_ADDRESS": "your-zilliz-cloud-public-endpoint",
        "MILVUS_TOKEN": "your-zilliz-cloud-api-key"
      }
    }
  ]
}
</details> <details> <summary><strong>Roo Code</strong></summary>

Roo Code utilizes a JSON configuration file for MCP servers:

  1. Open Roo Code and navigate to Settings → MCP Servers → Edit Global Config.

  2. In the mcp_settings.json file, add the following configuration:

{
  "mcpServers": {
    "claude-context": {
      "command": "npx",
      "args": ["@zilliz/claude-context-mcp@latest"],
      "env": {
        "OPENAI_API_KEY": "your-openai-api-key",
        "MILVUS_ADDRESS": "your-zilliz-cloud-public-endpoint",
        "M

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars12.6k
CategoryAI
Updated2mo ago
Forks927

Languages

TypeScript

Security Score

95/100

Audited on Jul 14, 2026

1 low