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Eden AI MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Eden AI through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

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

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "eden-ai": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Eden AI Agent",
    instructions:
      "You help users interact with Eden AI " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Eden AI?"
  );
  console.log(result.text);
}

main();
Eden AI
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Eden AI MCP Server

Integrate Eden AI, the unified AI API platform, directly into your AI workflow. Manage your automation workflows and pipelines, track available AI providers (OpenAI, Google, AWS, etc.) across various features, monitor real-time API usage and costs, and oversee your LLM models using natural language.

Mastra's agent abstraction provides a clean separation between LLM logic and Eden AI tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Workflow Oversight — List and retrieve detailed information and status for all your configured AI automation workflows.
  • Provider Intelligence — Access the provider registry to monitor available AI capabilities, pricing, and service levels for specific features.
  • Usage Monitoring — Track real-time API consumption statistics, credit balance, and organizational spending across all providers.
  • Model Management — List all specific large language models (LLMs) and AI features supported by the Eden AI platform.

The Eden AI MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Eden AI to Mastra AI via MCP

Follow these steps to integrate the Eden AI MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from Eden AI via MCP

Why Use Mastra AI with the Eden AI MCP Server

Mastra AI provides unique advantages when paired with Eden AI through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Eden AI without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Eden AI tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Eden AI + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Eden AI MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Eden AI, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Eden AI as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Eden AI on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Eden AI tools alongside other MCP servers

Eden AI MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Eden AI to Mastra AI via MCP:

01

get_ai_feature_pricing

Identify the pricing for a specific AI feature across different providers

02

get_api_usage_statistics

Retrieve technical statistics on your API usage and costs

03

get_eden_ai_metadata

Retrieve metadata and credit balance for your Eden AI account

04

get_workflow_configuration

Get detailed settings and steps for a specific AI workflow

05

list_ai_providers

List all AI providers (OpenAI, Google, AWS, etc.) available for a specific feature

06

list_ai_workflows

List all AI automation workflows configured in your Eden AI account

07

list_all_llm_models

List all specific large language models available through the unified API

08

list_available_ai_features

List all AI features and subfeatures supported by the Eden AI platform

09

list_latest_ai_automations

Identify the most recently updated AI workflows

10

quick_ai_provider_audit

Retrieve a high-level summary of available providers for text analysis

Example Prompts for Eden AI in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Eden AI immediately.

01

"List all active AI workflows."

02

"Show me the pricing for 'sentiment_analysis' across providers."

03

"What is my current Eden AI credit balance?"

Troubleshooting Eden AI MCP Server with Mastra AI

Common issues when connecting Eden AI to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Eden AI + Mastra AI FAQ

Common questions about integrating Eden AI MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Eden AI to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.