How to Use the Agendor MCP in AutoGen

Build a team of debating agents in AutoGen to manage your Agendor CRM operations.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Agendor MCP to AutoGen

Create your Vinkius account to connect Agendor to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Agendor with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate sales strategy with AutoGen

Set up agents that challenge each other's assumptions about your sales pipeline. One agent retrieves data using `list_deals`, while another critiques the pace of the current negotiations. They negotiate the next steps before taking action. This ensures that any change to your CRM follows a consensus-driven process rather than a single, potentially flawed, decision.

Manage CRM tasks with multi-agent consensus

Use a specialized agent to review `list_tasks` and prioritize your daily agenda. A second agent, focused on CRM hygiene, checks for missing data and proposes fixes. If the second agent finds gaps, it can call `create_organization` or `create_person` to normalize your data. The agents communicate back and forth until the task is marked as resolved.

Automate complex CRM workflows in AutoGen

Assign different roles to your agents to cover your entire sales lifecycle. One agent acts as the lead researcher, pulling profiles using `list_people`, while the other handles the administrative record keeping. This team structure allows for autonomous oversight of your CRM. They work together to ensure your pipeline is accurate and your follow-ups are scheduled correctly.

Setup guide

Set up Agendor MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Agendor tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Agendor_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Agendor data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Agendor_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Agendor data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Agendor. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Agendor now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Agendor MCP in AutoGen

Use the MCP tool adapter provided by the Vinkius server. You simply pass the tool list to your AssistantAgent constructor, and the framework handles the rest.

That is the point. You can configure one agent to prioritize speed while another focuses on data accuracy, forcing them to debate before calling any CRM tools.

Yes, you can include the CRM tools in a group chat setup. Multiple agents can share the same tool definitions to perform collaborative work on your sales records.

You can log the conversation history between your agents. This shows you exactly which tools they called and how they reached their final decision regarding your CRM.

We utilize ephemeral sessions for every agent interaction. Your CRM credentials and sensitive person records are never stored by the server, and every request is authenticated via your private token.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript