Kevel MCP Server for AutoGen 11 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Kevel 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="kevel_agent",
tools=tools,
system_message=(
"You help users with Kevel. "
"11 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 Kevel MCP Server
Connect your Kevel (formerly Adzerk) account to any AI agent to streamline your ad serving operations. This MCP server allows your agent to manage advertisers, campaigns, flights, and inventory sites directly through natural language.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Kevel tools. Connect 11 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
- Campaign Management — List and retrieve detailed configurations for campaigns and flights
- Advertiser Oversight — Query and manage advertising entities and their metadata
- Inventory Control — List and inspect sites, zones, and channels to manage your ad placements
- Creative Audit — Access a comprehensive list of ad creatives and individual ad instances
- Format Exploration — List supported ad types and sizes to ensure correct technical implementations
The Kevel MCP Server exposes 11 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 Kevel to AutoGen via MCP
Follow these steps to integrate the Kevel 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 11 tools from Kevel automatically
Why Use AutoGen with the Kevel MCP Server
AutoGen provides unique advantages when paired with Kevel through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Kevel tools to solve complex tasks
Role-based architecture lets you assign Kevel 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 Kevel tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Kevel tool responses in an isolated environment
Kevel + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Kevel MCP Server delivers measurable value.
Collaborative analysis: one agent queries Kevel while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Kevel, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Kevel data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Kevel responses in a sandboxed execution environment
Kevel MCP Tools for AutoGen (11)
These 11 tools become available when you connect Kevel to AutoGen via MCP:
get_advertiser
Get details for a specific advertiser
get_campaign
Get details for a specific campaign
list_ad_types
g., banner, native). List available ad types
list_ads
List all ads
list_advertisers
List all advertisers in Kevel
list_campaigns
List all campaigns
list_channels
List all channels
list_creatives
) uploaded to the account. List all creatives
list_flights
List all flights
list_sites
List all sites
list_zones
List all zones
Example Prompts for Kevel in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Kevel immediately.
"Show me all active campaigns in Kevel."
"List all ad zones for the site with ID 12345."
"What ad types are supported in my Kevel account?"
Troubleshooting Kevel MCP Server with AutoGen
Common issues when connecting Kevel to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Kevel + AutoGen FAQ
Common questions about integrating Kevel 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 Kevel 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 Kevel to AutoGen
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
