Vignetim

Vignetim OpenAI MCP

Connectez l'API Partenaire Vignetim a Cursor, Windsurf, Continue, OpenAI Agents SDK et toute plateforme prenant en charge le Model Context Protocol.

Configuration rapide

Cursor

Ouvrez Cursor Settings → MCP → Add new MCP server :

{
	"mcpServers": {
		"vignetim": {
			"url": "https://vignetim.com/api/mcp",
			"headers": {
				"X-API-Key": "YOUR_API_KEY",
				"X-API-Secret": "YOUR_API_SECRET"
			}
		}
	}
}

Windsurf

Ajoutez a votre configuration MCP Windsurf :

{
	"mcpServers": {
		"vignetim": {
			"serverUrl": "https://vignetim.com/api/mcp",
			"headers": {
				"X-API-Key": "YOUR_API_KEY",
				"X-API-Secret": "YOUR_API_SECRET"
			}
		}
	}
}

Continue (VS Code)

Ajoutez a .continue/config.json :

{
	"mcpServers": [
		{
			"name": "vignetim",
			"url": "https://vignetim.com/api/mcp",
			"headers": {
				"X-API-Key": "YOUR_API_KEY",
				"X-API-Secret": "YOUR_API_SECRET"
			}
		}
	]
}

OpenAI Agents SDK (Python)

from openai_agents import Agent, MCPServerStreamableHttp

async with MCPServerStreamableHttp(
    url="https://vignetim.com/api/mcp",
    name="vignetim",
    headers={
        "X-API-Key": "YOUR_API_KEY",
        "X-API-Secret": "YOUR_API_SECRET",
    },
) as mcp:
    agent = Agent(
        name="Vignetim Partner",
        instructions="You manage Vignetim API integration. Browse products, create orders, and manage webhooks.",
        mcp_servers=[mcp],
    )
    result = await agent.run("List all Hungarian vignettes for cars")

OpenAI Agents SDK (Node.js)

import { Agent, MCPServerStreamableHttp } from '@openai/agents';

const mcp = new MCPServerStreamableHttp({
	url: 'https://vignetim.com/api/mcp',
	name: 'vignetim',
	headers: {
		'X-API-Key': 'YOUR_API_KEY',
		'X-API-Secret': 'YOUR_API_SECRET',
	},
});

await mcp.connect();

const agent = new Agent({
	name: 'Vignetim Partner',
	instructions: 'You manage Vignetim API integration.',
	mcpServers: [mcp],
});

const result = await agent.run('Show me my recent orders');

Outils disponibles (19 au total)

Produits (6 outils)

OutilMethodeEndpoint API
list_ticketsGET/products/tickets
get_ticketGET/products/tickets/:id
list_esim_packagesGET/products/esim
list_insurance_productsGET/products/insurance
get_insurance_productGET/products/insurance/:slug
list_vehicle_categoriesGET/products/vehicle-categories

Commandes (4 outils)

OutilMethodeEndpoint API
create_orderPOST/orders
list_ordersGET/orders
get_orderGET/orders/:id
get_order_statusGET/orders/:id/status

Webhooks (5 outils)

OutilMethodeEndpoint API
create_webhookPOST/webhooks
list_webhooksGET/webhooks
update_webhookPUT/webhooks/:id
delete_webhookDELETE/webhooks/:id
test_webhookPOST/webhooks/:id/test

Documentation (4 outils — aucune authentification requise)

OutilDescription
list_docsLister toutes les sections de documentation API
get_docObtenir le contenu complet d'une section par slug
search_docsRechercher dans toute la documentation
get_openapi_specObtenir l'URL de la specification OpenAPI 3.0

Creer un agent personnalise

from openai_agents import Agent, MCPServerStreamableHttp, Runner

SYSTEM_PROMPT = """You are a Vignetim Partner API assistant.
You help manage e-vignette, eSIM, and insurance orders.

Available actions:
- Browse products (vignettes, eSIM packages, insurance)
- Create and track orders
- Set up and manage webhook notifications
- Search API documentation for integration help

Always confirm before creating orders or modifying webhooks.
Use sandbox mode for testing."""

async def main():
    async with MCPServerStreamableHttp(
        url="https://vignetim.com/api/mcp",
        name="vignetim",
        headers={
            "X-API-Key": "YOUR_KEY",
            "X-API-Secret": "YOUR_SECRET",
            "X-Environment": "sandbox",
        },
    ) as mcp:
        agent = Agent(
            name="Vignetim Assistant",
            instructions=SYSTEM_PROMPT,
            mcp_servers=[mcp],
        )
        result = await Runner.run(
            agent,
            "Set up webhooks for order.completed and order.failed events "
            "at https://myapp.com/api/webhooks/vignetim, then send a test event."
        )
        print(result.final_output)

Mode bac a sable (Sandbox)

Ajoutez X-Environment: sandbox a vos en-tetes pour utiliser l'API bac a sable avec des paiements simules :

{
	"headers": {
		"X-API-Key": "YOUR_SANDBOX_KEY",
		"X-API-Secret": "YOUR_SANDBOX_SECRET",
		"X-Environment": "sandbox"
	}
}

Alternative : acces HTTP direct

Si votre plateforme ne prend pas en charge le MCP :

RessourceURL
Specification OpenAPIhttps://vignetim.com/api/partner-openapi
LLMs.txthttps://vignetim.com/llms.txt
Plugin IAhttps://vignetim.com/.well-known/ai-plugin.json
Documentation APIhttps://vignetim.com/fr/developers/api-reference

Depannage

« API credentials required »

Les outils API necessitent les en-tetes X-API-Key et X-API-Secret. Les outils de documentation fonctionnent sans identifiants.

Problemes de connexion

Verifiez que l'endpoint est joignable :

curl -X POST https://vignetim.com/api/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}'

Limitation de debit (Rate Limiting)

Le serveur MCP respecte les limites de debit de l'API Partenaire : 100 req/min en general, 10 req/min pour la creation de commandes. Le bac a sable beneficie d'un multiplicateur de 5x.