#!/usr/bin/env python3
"""
Example client for the Vercel MCP Server
Demonstrates how to interact with the API
"""
import requests
import json
# Update this with your Vercel deployment URL
BASE_URL = "https://your-project.vercel.app"
def test_health():
"""Test health endpoint"""
print("Testing health endpoint...")
response = requests.get(f"{BASE_URL}/health")
print(f"Status: {response.status_code}")
print(f"Response: {json.dumps(response.json(), indent=2)}\n")
def list_tools():
"""List available tools"""
print("Listing available tools...")
response = requests.get(f"{BASE_URL}/tools")
print(f"Response: {json.dumps(response.json(), indent=2)}\n")
def create_file_example():
"""Create a file"""
print("Creating a Python file...")
response = requests.post(
f"{BASE_URL}/execute",
json={
"tool": "create_file",
"arguments": {
"filepath": "hello.py",
"content": 'print("Hello from Vercel MCP!")\nprint("AI Workspace is operational")'
}
}
)
print(f"Response: {json.dumps(response.json(), indent=2)}\n")
def execute_python_example():
"""Execute a Python script"""
print("Executing Python script...")
response = requests.post(
f"{BASE_URL}/execute",
json={
"tool": "execute_python",
"arguments": {
"filepath": "hello.py"
}
}
)
result = response.json()
print(f"Success: {result.get('success')}")
print(f"Exit Code: {result.get('exit_code')}")
print(f"Output:\n{result.get('stdout')}")
if result.get('stderr'):
print(f"Errors:\n{result.get('stderr')}")
print()
def list_files_example():
"""List files in workspace"""
print("Listing files...")
response = requests.post(
f"{BASE_URL}/execute",
json={
"tool": "list_files",
"arguments": {}
}
)
result = response.json()
if result.get('success'):
print(f"Files: {json.dumps(result.get('files'), indent=2)}")
print(f"Directories: {json.dumps(result.get('directories'), indent=2)}\n")
def create_data_pipeline():
"""Create and run a data processing pipeline"""
print("Creating data processing pipeline...")
# Create directory
requests.post(
f"{BASE_URL}/execute",
json={
"tool": "create_directory",
"arguments": {"dirpath": "data"}
}
)
# Create input data
requests.post(
f"{BASE_URL}/execute",
json={
"tool": "create_file",
"arguments": {
"filepath": "data/input.json",
"content": json.dumps([1, 2, 3, 4, 5])
}
}
)
# Create processing script
script_content = """
import json
with open('data/input.json', 'r') as f:
data = json.load(f)
result = sum(data)
print(f"Sum of {data} = {result}")
with open('data/output.json', 'w') as f:
json.dump({"sum": result}, f)
"""
requests.post(
f"{BASE_URL}/execute",
json={
"tool": "create_file",
"arguments": {
"filepath": "process.py",
"content": script_content
}
}
)
# Execute script
response = requests.post(
f"{BASE_URL}/execute",
json={
"tool": "execute_python",
"arguments": {"filepath": "process.py"}
}
)
result = response.json()
print(f"Processing output:\n{result.get('stdout')}")
# Read result
response = requests.post(
f"{BASE_URL}/execute",
json={
"tool": "read_file",
"arguments": {"filepath": "data/output.json"}
}
)
result = response.json()
if result.get('success'):
print(f"Result file content: {result.get('content')}\n")
def main():
"""Run all examples"""
print("=" * 60)
print("Vercel MCP Server - Example Client")
print("=" * 60)
print()
try:
test_health()
list_tools()
create_file_example()
execute_python_example()
list_files_example()
create_data_pipeline()
print("=" * 60)
print("All examples completed successfully!")
print("=" * 60)
except requests.exceptions.RequestException as e:
print(f"Error: {e}")
print("\nMake sure to update BASE_URL with your Vercel deployment URL")
if __name__ == "__main__":
main()
