Skip to main content
Glama

Createve.AI Nexus

by spgoodman
test_api.pyβ€’2.66 kB
import requests import json # Define the API endpoint and credentials api_url = "http://localhost:43080/api/text_processing/textAnalyzer" api_key = "sk-apiservertest1" headers = { "Authorization": f"Bearer {api_key}", "Content-Type": "application/json" } # Prepare the payload payload = { "text": "This is a test message. It's a great day! I'm very happy with the results." } # Make the request try: response = requests.post(api_url, headers=headers, json=payload) # Print the status code and response print(f"Status Code: {response.status_code}") print("Response:") if response.status_code == 200: print(json.dumps(response.json(), indent=2)) else: print(response.text) except Exception as e: print(f"Error: {str(e)}") # Test the text summarizer endpoint (which should use the queue) summarizer_url = "http://localhost:43080/api/text_processing/textSummarizer" summarizer_payload = { "text": "This is the first sentence about testing. This is a second sentence about APIs. This is a third sentence about summarization techniques. This is a fourth sentence about natural language processing. This is a fifth sentence about text analysis.", "summary_length": 2 } print("\nTesting Text Summarizer (Queue Mode):") try: response = requests.post(summarizer_url, headers=headers, json=summarizer_payload) print(f"Status Code: {response.status_code}") print("Response:") if response.status_code == 200: result = response.json() print(json.dumps(result, indent=2)) # If we got a queue_id, check the status if "queue_id" in result: queue_id = result["queue_id"] print(f"\nReceived queue_id: {queue_id}") print("Checking queue status...") # Check queue status queue_url = f"{summarizer_url}/queue" queue_check_payload = {"queue_id": queue_id} # Wait for the result import time for _ in range(5): # Try 5 times time.sleep(2) # Wait 2 seconds between checks queue_response = requests.post(queue_url, headers=headers, json=queue_check_payload) queue_result = queue_response.json() if "queue_id" in queue_result: print("Still processing...") else: print("Processing complete!") print(json.dumps(queue_result, indent=2)) break else: print(response.text) except Exception as e: print(f"Error: {str(e)}")

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/spgoodman/createveai-nexus-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server