How to Use the imgix (Real-time Image Processing) MCP in Mastra AI
Build resilient image infrastructure workflows in Mastra AI using direct CDN tool access.
Works with every AI agent you already use
…and any MCP-compatible client
Connect imgix (Real-time Image Processing) MCP to Mastra AI
Create your Vinkius account to connect imgix (Real-time Image Processing) to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Automate CDN source lifecycle in Mastra AI
Define complex steps for your infrastructure management. Use `create_source` to spin up new buckets and `update_source` to change caching rules automatically. If a deployment fails, your workflow can revert settings using these tools. It handles the logic so your team doesn't have to manually touch the dashboard.
Conditional cache invalidation for agents
Build logic that triggers a `purge` only when specific conditions are met. This prevents unnecessary origin load while ensuring users get fresh assets. Mastra AI manages the retries if the network blips. Your agents stay focused on the task while the underlying engine ensures the cache is cleared.
Monitor origin health through tool calls
Check if your assets are reachable by querying `get_source`. You can build a status agent that alerts you if the deployment type changes. Use `list_sources` to audit your entire setup. Everything is logged, giving you a clear trail of every change made to your image delivery path.
Set up imgix (Real-time Image Processing) MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and inject tools
Call
mcpClient.listTools()and spread the result into your agent'stoolsobject. All imgix (Real-time Image Processing) tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";
const mcpClient = new MCPClient({
id: "imgix-real-time-image-processing-mcp-client",
servers: {
"imgix-real-time-image-processing-mcp": {
url: new URL(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
),
},
},
});
const agent = new Agent({
name: "imgix (Real-time Image Processing) Agent",
model: openai("gpt-4o"),
instructions: "You have access to imgix (Real-time Image Processing) tools.",
tools: {
...(await mcpClient.listTools()),
},
});
const result = await agent.generate(
"List recent imgix (Real-time Image Processing) transactions"
);
console.log(result.text); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by imgix. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about imgix (Real-time Image Processing) MCP in Mastra AI
Use it with your favorite AI tools
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Start using the imgix (Real-time Image Processing) MCP today
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