You've already forked adk-python
mirror of
https://github.com/encounter/adk-python.git
synced 2026-07-09 18:19:28 -07:00
22 lines
848 B
Markdown
22 lines
848 B
Markdown
|
# BigQuery API Registry Agent
|
||
|
|
|
||
|
|
This agent demonstrates how to use `ApiRegistry` to discover and interact with Google Cloud services like BigQuery via tools exposed by an MCP server registered in an API Registry.
|
||
|
|
|
||
|
|
## Prerequisites
|
||
|
|
|
||
|
|
- A Google Cloud project with the API Registry API enabled.
|
||
|
|
- An MCP server exposing BigQuery tools registered in API Registry.
|
||
|
|
|
||
|
|
## Configuration & Running
|
||
|
|
|
||
|
|
1. **Configure:** Edit `agent.py` and replace `your-google-cloud-project-id` and `your-mcp-server-name` with your Google Cloud Project ID and the name of your registered MCP server.
|
||
|
|
2. **Run in CLI:**
|
||
|
|
```bash
|
||
|
|
adk run contributing/samples/api_registry_agent -- --log-level DEBUG
|
||
|
|
```
|
||
|
|
3. **Run in Web UI:**
|
||
|
|
```bash
|
||
|
|
adk web contributing/samples/
|
||
|
|
```
|
||
|
|
Navigate to `http://127.0.0.1:8080` and select the `api_registry_agent` agent.
|