LinkedIn MCP Server

#!/usr/bin/env python3 """ Simple script to test the MCP client API. """ import requests import json import sys import os from dotenv import load_dotenv # Load environment variables load_dotenv() # Default to localhost if API_BASE not set API_BASE = os.getenv("API_BASE", "http://localhost:8001") def pretty_print(data): """Print JSON data in a readable format.""" print(json.dumps(data, indent=2)) def test_server_info(): """Test the server info endpoint.""" print("Testing server info...") response = requests.get(f"{API_BASE}/server") pretty_print(response.json()) print() def test_list_tools(): """Test the list tools endpoint.""" print("Testing list tools...") response = requests.get(f"{API_BASE}/tools") pretty_print(response.json()) print() def test_call_tool(): """Test calling a tool.""" print("Testing call tool (run-analysis-report with 3 days)...") response = requests.post( f"{API_BASE}/tools/call", json={"name": "run-analysis-report", "args": {"days": 3}} ) pretty_print(response.json()) print() def test_list_resources(): """Test the list resources endpoint.""" print("Testing list resources...") response = requests.get(f"{API_BASE}/resources") pretty_print(response.json()) print() def test_read_resource(): """Test reading a resource.""" print("Testing read resource (interpreting-reports)...") response = requests.post( f"{API_BASE}/resources/read", json={"uri": "docs://interpreting-reports"} ) pretty_print(response.json()) print() def main(): """Run all tests.""" test_server_info() test_list_tools() test_call_tool() test_list_resources() test_read_resource() if __name__ == "__main__": main()