> ## Documentation Index
> Fetch the complete documentation index at: https://developer.eka.care/llms.txt
> Use this file to discover all available pages before exploring further.

# Quickstart

> Connect your AI client to MedAI Tools in minutes using the hosted server.

**Server URL:** `https://medai-tools.eka.care/mcp`

> [!NOTE]
>
> **Prerequisite:** An active Eka account. On first connect, your AI client will open a browser window for OAuth login. Contact **[ekaconnect@eka.care](mailto:ekaconnect@eka.care)** to get access.

Pick your AI client and follow the steps:

**Claude Desktop**

### Claude Desktop (Paid / Pro)

**1. Open Settings**

In Claude Desktop, click **Settings** → **Connectors** → **Add custom connector**

**2. Enter server details**

* Name: `MedAI Tools`
* URL: `https://medai-tools.eka.care/mcp`

**3. Add and authenticate**

Click **Add**, then sign in with your Eka account when prompted.

### Claude Desktop (Free)

Free tier doesn't have the Connectors UI. Use `mcp-remote` as a bridge:

**1. Open config**

Go to **Settings** → **Developer** → **Edit Config**

**2. Add this configuration**

```json claude_desktop_config.json theme={null}
{
  "mcpServers": {
    "medai-tools": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://medai-tools.eka.care/mcp"]
    }
  }
}
```

Config location: `~/Library/Application Support/Claude/claude_desktop_config.json` (macOS) or `%APPDATA%\Claude\claude_desktop_config.json` (Windows)

**3. Save and restart**

Save the file, restart Claude Desktop, then authenticate when the browser opens.

**Claude Code**

Add to your Claude Code settings:

```json ~/.claude/settings.json theme={null}
{
  "mcpServers": {
    "medai-tools": {
      "type": "url",
      "url": "https://medai-tools.eka.care/mcp"
    }
  }
}
```

Or run from the terminal:

```bash theme={null}
claude mcp add medai-tools --transport http https://medai-tools.eka.care/mcp
```

**ChatGPT**

**Requirements:** ChatGPT with a paid plan (remote MCP connectors are not available on the Free tier).

**1. Go to Settings**

Open [chatgpt.com](https://chatgpt.com) → click your profile → **Settings**

**2. Enable developer mode**

Navigate to **Apps and Connectors** → toggle on **Developer mode**

**3. Create connector**

Click **Create app**:

* Name: `MedAI Tools`
* URL: `https://medai-tools.eka.care/mcp`

**4. Authenticate**

Click **Create** and sign in with your Eka account when the OAuth window appears.

**Cursor**

**1. Open MCP settings**

Press `Cmd/Ctrl + Shift + P` → **Cursor Settings** → **Tools & MCP** → **New MCP Server**

**2. Add configuration**

```json theme={null}
{
  "mcpServers": {
    "medai-tools": {
      "url": "https://medai-tools.eka.care/mcp"
    }
  }
}
```

**3. Connect**

Click **Connect**, then sign in with your Eka account.

**VS Code**

**Requirements:** VS Code 1.95+ with GitHub Copilot

**1. Open Command Palette**

Press `Cmd/Ctrl + Shift + P` → **MCP: Add Server** → **HTTP**

**2. Enter details**

* URL: `https://medai-tools.eka.care/mcp`
* Name: `medai-tools`

**3. Authenticate**

VS Code will prompt you to sign in with your Eka account.

Or add directly to settings:

```json settings.json theme={null}
{
  "mcp": {
    "servers": {
      "medai-tools": {
        "type": "http",
        "url": "https://medai-tools.eka.care/mcp"
      }
    }
  }
}
```

***

## Verify the Connection

Once connected, test with a prompt in your AI client:

```text theme={null}
Search for Dolo 650 in the Indian drug database
```

You should see the AI call `indian_branded_drug_search` and return drug details including generic composition and manufacturer.

***

## Self-hosted (Partners Only)

The MedAI Tools server source is available to Eka partners. Self-hosting requires Python 3.13+, Docker, AWS Bedrock access, and Eka OAuth credentials.

Contact **[ekaconnect@eka.care](mailto:ekaconnect@eka.care)** to request source access and setup documentation.

***

> [!NOTE]
>
> **Need an Eka account?** Contact **[ekaconnect@eka.care](mailto:ekaconnect@eka.care)** to get started.


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.