Content
# DX MCP Server
<h4>Use natural language to write and execute queries on your organizational data in DX Data Cloud!</h4>
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## About
The DX MCP Server is a Python-based tool that empowers AI applications, such as [Claude for Desktop](https://claude.ai/download) and [Cursor](https://www.cursor.com/), to interact with your DX Data Cloud database. The server includes tools to:
- establish a connection to your Postgres database, allowing the AI to actively formulate and execute queries on the database
- find/utilize context about your software entities and their relationships and scorecards via DX catalog tools
Learn more about the [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction).
## Demo
https://github.com/user-attachments/assets/c6ce12a5-4562-4b44-b235-2d04871c3142
## Getting Started
There are two ways to use the DX MCP Server:
1. **Remote hosting** (recommended): Connect to our hosted server at `https://ai.getdx.com/mcp`
2. **Local hosting**: Run the server on your machine
### Prerequisites
- A DX account with access to Data Cloud
- **For remote hosting**:
- A web API token with read scopes granted (found in your [DX account settings](https://app.getdx.com/admin/webapi))
- **For local hosting**:
- Python 3.10 or higher
- Your database connection URL (configured on DX's [DB Users settings page](https://app.getdx.com/datacloud/dbusers))
- A web API token with read scopes granted (found in your [DX account settings](https://app.getdx.com/admin/webapi))
---
## Option 1: Remote Hosting (Recommended)
The hosted MCP server uses streamable HTTP transport and is available at `https://ai.getdx.com/mcp`. This option requires no local installation; just configure your AI client with the mcp using http transport and provided with a valid Web API Token.
### Claude Code
Run this command in your terminal:
```bash
claude mcp add --transport http dx-mcp https://ai.getdx.com/mcp --header "Authorization: Bearer [YOUR_WEB_API_TOKEN]"
```
### Cursor
Add this configuration to your MCP settings (**Cursor > Settings > Cursor Settings > MCP**):
```json
{
"mcpServers": {
"dx-mcp": {
"url": "https://ai.getdx.com/mcp",
"headers": {
"Authorization": "Bearer [YOUR_WEB_API_TOKEN]"
}
}
}
}
```
---
## Option 2: Local Installation
If you prefer to run the DX MCP Server locally, you can install it via PyPI or run it from source.
### Installation Method 1: Install from PyPI
Install the package using pip:
```bash
pip install dx-mcp-server
```
> **Note for macOS users**: If you encounter an "externally-managed-environment" error, use `pipx` instead:
> ```bash
> pipx install dx-mcp-server
> ```
### Installation Method 2: Clone from Source
Clone this repository to run from source:
```bash
git clone https://github.com/get-dx/dx-mcp-server
cd dx-mcp-server
```
### Configuration
Once installed, configure your AI client with the appropriate settings:
#### Claude Code
Run this command in your terminal (adjust based on your installation method):
```bash
# If installed via pip/pipx
claude mcp add dx-mcp-server --env DB_URL=YOUR_DB_URL --env WEB_API_TOKEN=YOUR_TOKEN -- $(which dx-mcp-server)
```
#### Claude for Desktop
Click **Claude > Settings > Developer > Edit Config** and add:
**If you installed via pip:**
```json
{
"mcpServers": {
"dx-mcp": {
"command": "dx-mcp-server",
"args": ["run"],
"env": {
"DB_URL": "YOUR-DATABASE-URL",
"WEB_API_TOKEN": "YOUR-WEB-API-TOKEN"
}
}
}
}
```
**If you're running from source:**
```json
{
"mcpServers": {
"dx-mcp": {
"command": "uv",
"args": ["--directory", "/path/to/dx-mcp-server", "run", "-m", "dx_mcp_server", "run"],
"env": {
"DB_URL": "YOUR-DATABASE-URL",
"WEB_API_TOKEN": "YOUR-WEB-API-TOKEN"
}
}
}
}
```
#### Cursor
Click **Cursor > Settings > Cursor Settings > MCP > Add new global MCP Server** and add:
**If you installed via pip:**
```json
{
"mcpServers": {
"dx-mcp": {
"command": "dx-mcp-server",
"args": ["run"],
"env": {
"DB_URL": "YOUR-DATABASE-URL",
"WEB_API_TOKEN": "YOUR-WEB-API-TOKEN"
}
}
}
}
```
**If you're running from source:**
```json
{
"mcpServers": {
"dx-mcp": {
"command": "uv",
"args": ["--directory", "/path/to/dx-mcp-server", "run", "-m", "dx_mcp_server", "run"],
"env": {
"DB_URL": "YOUR-DATABASE-URL",
"WEB_API_TOKEN": "YOUR-WEB-API-TOKEN"
}
}
}
}
```
### Configuration Parameters
- **`DB_URL`** (required): Your DX Data Cloud Postgres connection string. Get this from [DX DB Users settings](https://app.getdx.com/datacloud/dbusers).
- Format: `postgresql://username:password@host:port/database`
- **`WEB_API_TOKEN`**: Your DX Web API Token. This enables additional catalog and entity tools. Find this in your DX account settings.
### Usage
After saving the configuration, restart your AI client. You should see "dx-mcp" in the available MCP servers. When you ask questions about your data or catalog, the AI will use these tools to query your database or hit the relevant web apis.
---
## Troubleshooting
### Path Resolution Issues
The most common issue involves the MCP client not finding the `dx-mcp-server`/`uv` command, as GUI applications don't inherit the same PATH environment variables as the terminal. The solution is to use the full path to the executable in the json config.
#### For pip/pipx installations:
Find the full path to `dx-mcp-server`:
```bash
# Find the path on macOS/Linux
which dx-mcp-server
# Find the path on Windows (in Command Prompt)
where dx-mcp-server
```
Then use the full path in your configuration:
```json
{
"mcpServers": {
"dx-mcp": {
"command": "/full/path/to/dx-mcp-server",
"args": ["run"],
"env": {
"DB_URL": "YOUR-DATABASE-URL",
"WEB_API_TOKEN": "YOUR-WEB-API-TOKEN"
}
}
}
}
```
#### For source installations:
Find the full path to `uv`:
```bash
# Find the path on macOS/Linux
which uv
# Find the path on Windows (in Command Prompt)
where uv
```
Then use the full path in your configuration:
```json
{
"mcpServers": {
"dx-mcp": {
"command": "/full/path/to/uv",
"args": ["--directory", "/absolute/path/to/dx-mcp-server", "run", "-m", "dx_mcp_server", "run"],
"env": {
"DB_URL": "YOUR-DATABASE-URL",
"WEB_API_TOKEN": "YOUR-WEB-API-TOKEN"
}
}
}
}
```
### Checking Logs
If you're still experiencing issues:
- **Claude Desktop**: Check logs at:
- macOS: `~/Library/Logs/Claude/`
- Windows: `%APPDATA%\Claude\logs\`
- **Cursor**: Check logs at:
- macOS: `~/Library/Application Support/Cursor/logs/[SESSION_ID]`
- Windows: `%APPDATA%\Cursor\logs\[SESSION_ID]`
The logs will show warning and error messages when starting or running the MCP server.
