How to Use the Eden AI MCP in Mastra AI

Q: How do I add Eden AI tools to Mastra AI?

Install @mastra/mcp. Initialize the MCPClient with your Vinkius server URL, call listTools(), and spread the array into your Mastra agent's tool configuration.

Q: Does the Eden AI MCP Server require manual approval in Mastra?

You decide. By setting requireToolApproval on specific operations like quickaiprovideraudit, you force the agent to wait for a human before proceeding.

Q: How does Mastra handle data privacy when reading Eden AI pricing?

The getaifeaturepricing tool accesses public and account-specific rate cards. Vinkius isolates this transaction within a zero-trust environment. No other tenant can access your request payload or the resulting cost data.

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Connect Eden AI MCP to Mastra AI

Create your Vinkius account to connect Eden AI 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.

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Setup Eden AI with Mastra AI

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Control Eden AI Workflows with Mastra AI

The `list_ai_workflows` and `get_workflow_configuration` tools feed directly into Mastra AI's conditional branching logic. Your agent reads the pipeline settings from the MCP Server to decide which path to take. If a specific workflow step requires human approval, Mastra pauses execution. You track the newest pipeline changes using `list_latest_ai_automations`. When the agent detects an updated configuration, it adjusts its internal routing automatically. This keeps your multi-step processes aligned with the platform backend.

Route Across AI Providers

With `list_ai_providers` and `list_all_llm_models`, your Mastra agent knows exactly which vendors are online. If a primary text generation model fails, the framework's built-in retry engine catches the error. The agent then picks an alternative model from the list. You verify vendor health using `quick_ai_provider_audit` before committing to a heavy workload. This prevents the system from routing traffic to a degraded provider. Your workflows finish successfully despite external outages.

Enforce Cost Limits on Execution

The `get_ai_feature_pricing` tool lets your agent calculate costs before running a batch job. Mastra AI evaluates the price matrix and branches the workflow if the cost exceeds a set threshold. You stop expensive operations automatically. After execution, `get_api_usage_statistics` and `get_eden_ai_metadata` pull the final billing numbers and remaining credits. The agent logs these metrics to your internal database. Your team gets accurate cost tracking without writing custom API wrappers.

Setup guide

Set up Eden AI MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. 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's tools object. All Eden AI tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "eden-ai-mcp-client",
  servers: {
    "eden-ai-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Eden AI Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Eden AI tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Eden AI transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Eden AI. 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 Eden AI MCP in Mastra AI

Install `@mastra/mcp`. Initialize the `MCPClient` with your Vinkius server URL, call `listTools()`, and spread the array into your Mastra agent's tool configuration.

Yes. Mastra's built-in workflow engine handles exponential backoff automatically. If `get_workflow_configuration` times out, the framework retries the MCP tool call based on your retry policy.

You decide. By setting `requireToolApproval` on specific operations like `quick_ai_provider_audit`, you force the agent to wait for a human before proceeding.

Mastra auto-detects the correct protocol. For Vinkius-hosted endpoints, it defaults to Streamable HTTP or SSE, depending on the specific server configuration.

The `get_ai_feature_pricing` tool accesses public and account-specific rate cards. Vinkius isolates this transaction within a zero-trust environment. No other tenant can access your request payload or the resulting cost data.

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