Customers.ai MCP Server for AutoGenGive AutoGen instant access to 8 tools to Add Tag To Contact, Get Contact, List Xray Leads, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Customers.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 App Connector for AutoGen
The Customers.ai app connector for AutoGen is a standout in the Productivity category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="customersai_agent",
tools=tools,
system_message=(
"You help users with Customers.ai. "
"8 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 Customers.ai MCP Server
Connect your Customers.ai (formerly MobileMonkey) account to any AI agent and take full control of your automated messaging and B2B identity resolution workflows through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Customers.ai tools. Connect 8 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
- Contact Orchestration — List and search your contact database programmatically, retrieving detailed metadata from identity resolution pipelines like X-Ray Pixel
- Multichannel Engagement — Programmatically dispatch plain text or high-fidelity JSON messages (including galleries and buttons) across SMS and chat channels
- Identity Resolution Intelligence — Access leads identified through website visits to prioritize high-intent prospects and maintain a high-fidelity sales pipeline
- Attribute Management — Programmatically update custom contact attributes and manage audience segments through dynamic tagging directly from your agent
- Lead Discovery — Find contacts by email, phone, or external identifiers to perfectly coordinate your multichannel outreach and follow-ups
The Customers.ai MCP Server exposes 8 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.
All 8 Customers.ai tools available for AutoGen
When AutoGen connects to Customers.ai through Vinkius, your AI agent gets direct access to every tool listed below — spanning customersai, identity-resolution, messaging-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add a tag to a contact
Get contact profile details
List identified website visitors
Remove a tag from a contact
Search for contacts in Customers.ai
Send a structured JSON message
Send a text message to a contact
Update attributes for a contact
Connect Customers.ai to AutoGen via MCP
Follow these steps to wire Customers.ai into AutoGen. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install AutoGen
pip install "autogen-ext[mcp]"Replace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenIntegrate into workflow
Explore tools
Why Use AutoGen with the Customers.ai MCP Server
AutoGen provides unique advantages when paired with Customers.ai through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Customers.ai tools to solve complex tasks
Role-based architecture lets you assign Customers.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 Customers.ai tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Customers.ai tool responses in an isolated environment
Customers.ai + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Customers.ai MCP Server delivers measurable value.
Collaborative analysis: one agent queries Customers.ai while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Customers.ai, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Customers.ai data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Customers.ai responses in a sandboxed execution environment
Example Prompts for Customers.ai in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Customers.ai immediately.
"List the last 5 leads identified via X-Ray Pixel."
"Find the contact with email 'jane.doe@example.com'."
"Add the 'Q2 Campaign' tag to contact ID '1024'."
Troubleshooting Customers.ai MCP Server with AutoGen
Common issues when connecting Customers.ai to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Customers.ai + AutoGen FAQ
Common questions about integrating Customers.ai MCP Server with AutoGen.