claude-context

![](assets/claude-context.png)

> 🆕 **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

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**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](https://lh7-rt.googleusercontent.com/docsz/AD_4nXf2uIf2c5zowp-iOMOqsefHbY_EwNGiutkxtNXcZVJ8RI6SN9DsCcsc3amXIhOZx9VcKFJQLSAqM-2pjU9zoGs1r8GCTUL3JIsLpLUGAm1VQd5F2o5vpEajx2qrc77iXhBu1zWj?key=qYdFquJrLcfXCUndY-YRBQ)

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](https://cloud.zilliz.com/signup?utm_source=github&utm_medium=referral&utm_campaign=2507-codecontext-readme) on Zilliz Cloud to get an API key.

![](assets/signup_and_get_apikey.png)

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](https://platform.openai.com/api-keys).  

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:

```bash
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](https://docs.anthropic.com/en/docs/claude-code/mcp) 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:

```toml
# 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
```

3. 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:

```json
{
  "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"
      }
    }
  }
}
```

3. 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:

```json
{
  "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](https://cursor.com/docs/context/mcp) for more info.

```json
{
  "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:

```json
{
  "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:

```json
{
  "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:

```json
{
  "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:

```json
{
  "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:

```json
{
  "mcpServers": {
    "claude-context": {
      "command": "