Zendesk Sell 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 Zendesk Sell 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="zendesk_sell_agent",
tools=tools,
system_message=(
"You help users with Zendesk Sell. "
"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 Zendesk Sell MCP Server
Connect your Zendesk Sell (formerly Base CRM) account to any AI agent to automate your sales pipeline and customer management. This MCP server enables your agent to interact with leads, qualified contacts, and sales deals directly from natural language interfaces.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Zendesk Sell 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
- Lead Management — List, retrieve, and create sales leads to capture potential customer interest
- Contact Oversight — Manage qualified people and organizations, and retrieve their complete metadata profiles
- Deal Tracking — Monitor sales opportunities, update their status, and manage the entire deal lifecycle
- Pipeline Automation — Create and update sales records directly from your conversation to keep your CRM accurate
- CRM Cleanup — Delete unnecessary leads, contacts, or deals via simple natural language commands
The Zendesk Sell 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 Zendesk Sell to AutoGen via MCP
Follow these steps to integrate the Zendesk Sell 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 Zendesk Sell automatically
Why Use AutoGen with the Zendesk Sell MCP Server
AutoGen provides unique advantages when paired with Zendesk Sell through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Zendesk Sell tools to solve complex tasks
Role-based architecture lets you assign Zendesk Sell 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 Zendesk Sell tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Zendesk Sell tool responses in an isolated environment
Zendesk Sell + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Zendesk Sell MCP Server delivers measurable value.
Collaborative analysis: one agent queries Zendesk Sell while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Zendesk Sell, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Zendesk Sell data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Zendesk Sell responses in a sandboxed execution environment
Zendesk Sell MCP Tools for AutoGen (11)
These 11 tools become available when you connect Zendesk Sell to AutoGen via MCP:
create_new_lead
Requires last_name or organization_name. Create a new sales lead
create_sales_contact
Requires a JSON body with contact details. Create a new person or organization contact
create_sales_deal
Requires deal name and contact_id. Create a new sales opportunity (deal)
delete_sales_deal
Remove a deal from the account
get_deal_details
Get details for a specific sales deal
get_lead_details
Get details for a specific lead
get_sales_contact_details
Get details for a specific contact
list_sales_contacts
List all sales contacts (qualified prospects)
list_sales_deals
List all sales deals (opportunities)
list_sales_leads
List all sales leads
update_existing_deal
Update details for an existing deal
Example Prompts for Zendesk Sell in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Zendesk Sell immediately.
"List all active sales leads in my Zendesk Sell account."
"Create a new deal named 'Enterprise License' for contact ID '98765'."
"Update the status of deal '54321' to 'Won'."
Troubleshooting Zendesk Sell MCP Server with AutoGen
Common issues when connecting Zendesk Sell to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Zendesk Sell + AutoGen FAQ
Common questions about integrating Zendesk Sell 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 Zendesk Sell with your favorite client
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Microsoft's framework for multi-agent collaborative conversations.
Connect Zendesk Sell to AutoGen
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.
