How do I get an Eden AI API Key?

Log in to your Eden AI account, navigate to **Account Settings** or the **API** section, and you can generate or retrieve your unique API Key from there.

Does the integration support all AI providers?

Yes, Eden AI provides a unified interface for many providers. The agent can retrieve availability and pricing for any provider currently supported by the Eden AI platform.

Can the agent trigger workflow executions?

This integration currently focuses on listing and auditing workflows, providers, and usage. Triggering new workflow executions should be managed via specific Eden AI API calls or the platform dashboard.

Eden AI MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Eden AI
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Eden AI through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Eden AI Assistant",
            instructions=(
                "You help users interact with Eden AI. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Eden AI"
        )
        print(result.final_output)

asyncio.run(main())

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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.

The OpenAI Agents SDK auto-discovers all 10 tools from Eden AI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Eden AI, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Eden AI MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Eden AI

Why Use OpenAI Agents SDK with the Eden AI MCP Server

OpenAI Agents SDK provides unique advantages when paired with Eden AI through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Eden AI + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Eden AI MCP Server delivers measurable value.

Automated workflows: build agents that query Eden AI, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Eden AI, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Eden AI tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Eden AI to resolve tickets, look up records, and update statuses without human intervention

Eden AI MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Eden AI to OpenAI Agents SDK via MCP:

get_ai_feature_pricing

Identify the pricing for a specific AI feature across different providers

get_api_usage_statistics

Retrieve technical statistics on your API usage and costs

get_eden_ai_metadata

Retrieve metadata and credit balance for your Eden AI account

get_workflow_configuration

Get detailed settings and steps for a specific AI workflow

list_ai_providers

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

list_ai_workflows

List all AI automation workflows configured in your Eden AI account

list_all_llm_models

List all specific large language models available through the unified API

list_available_ai_features

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

list_latest_ai_automations

Identify the most recently updated AI workflows

quick_ai_provider_audit

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

Example Prompts for Eden AI in OpenAI Agents SDK

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

"List all active AI workflows."

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

"What is my current Eden AI credit balance?"

Troubleshooting Eden AI MCP Server with OpenAI Agents SDK

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

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Eden AI + OpenAI Agents SDK FAQ

Common questions about integrating Eden AI MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.