Eden AI MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Eden AI as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="eden_ai_agent",
tools=tools,
system_message=(
"You help users with Eden AI. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Eden AI tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Eden AI MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Eden AI automatically
Why Use AutoGen with the Eden AI MCP Server
AutoGen provides unique advantages when paired with Eden AI through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Eden AI tools to solve complex tasks
Role-based architecture lets you assign Eden AI tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Eden AI tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Eden AI tool responses in an isolated environment
Eden AI + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Eden AI MCP Server delivers measurable value.
Collaborative analysis: one agent queries Eden AI while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Eden AI, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Eden AI data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Eden AI responses in a sandboxed execution environment
Eden AI MCP Tools for AutoGen (10)
These 10 tools become available when you connect Eden AI to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Eden AI to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Eden AI + AutoGen FAQ
Common questions about integrating Eden AI MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Eden AI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Eden AI to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.