Frontegg MCP Server for AutoGen 12 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Frontegg 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="frontegg_agent",
tools=tools,
system_message=(
"You help users with Frontegg. "
"12 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 Frontegg MCP Server
Connect your Frontegg environment to any AI agent to automate your B2B SaaS identity management through the Model Context Protocol (MCP). Frontegg is a powerful user management and authentication platform designed specifically for modern SaaS applications. This MCP server enables you to manage multi-tenant architectures, provision new users, and audit security configurations directly through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Frontegg tools. Connect 12 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.
Key Features
- Tenant Orchestration — List all customer accounts (tenants), retrieve their configuration details, and programmatically create or delete tenants.
- User Provisioning — Access your global user database, fetch detailed profiles across tenants, and instantly invite or remove users.
- Role & Permission Discovery — List all system roles and granular permissions to audit your security and access control models.
- M2M Token Management — Retrieve Machine-to-Machine tokens for specific tenants to simplify backend integrations.
- Real-time Synchronization — Keep your identity and access management operations accessible to your AI assistant without leaving your primary workspace.
- Secure Environment Access — Authenticate securely using Vendor Client ID and API Keys to perform administrative operations safely.
The Frontegg MCP Server exposes 12 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 Frontegg to AutoGen via MCP
Follow these steps to integrate the Frontegg 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 12 tools from Frontegg automatically
Why Use AutoGen with the Frontegg MCP Server
AutoGen provides unique advantages when paired with Frontegg through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Frontegg tools to solve complex tasks
Role-based architecture lets you assign Frontegg 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 Frontegg tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Frontegg tool responses in an isolated environment
Frontegg + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Frontegg MCP Server delivers measurable value.
Collaborative analysis: one agent queries Frontegg while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Frontegg, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Frontegg data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Frontegg responses in a sandboxed execution environment
Frontegg MCP Tools for AutoGen (12)
These 12 tools become available when you connect Frontegg to AutoGen via MCP:
check_environment_status
Verify API connection
create_tenant
Create a new tenant
create_user
Provision a user
delete_tenant
Delete a tenant
delete_user
Remove a user
get_tenant_details
Get tenant metadata
get_user_details
Get user metadata
list_m2m_tokens
List machine tokens
list_permissions
List granular permissions
list_system_roles
g. Admin, Read-Only) available for assignment. List roles
list_tenants
List all tenants/accounts
list_users
List users globally
Example Prompts for Frontegg in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Frontegg immediately.
"List the first 10 tenants in our Frontegg environment."
"Find the user details for 'jane@example.com'."
"Create a new tenant named 'Stark Industries'."
Troubleshooting Frontegg MCP Server with AutoGen
Common issues when connecting Frontegg to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Frontegg + AutoGen FAQ
Common questions about integrating Frontegg 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 Frontegg 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 Frontegg to AutoGen
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
