How to Use the LeadSquared MCP in AutoGen

Q: How do I search for LeadSquared leads in AutoGen?

Register the searchleads tool with your AssistantAgent. You can then instruct your agents to search for specific leads as part of their conversation flow. They will use the tool output to inform their decision-making.

Q: Can AutoGen agents create LeadSquared opportunities?

Yes, the createopportunity tool allows your agents to open new deals. You can configure a multi-agent system where a manager agent approves the deal before the tool is called. It adds a layer of logic to your CRM operations.

Q: How do I manage LeadSquared activities in AutoGen?

Use the listopportunityactivities or listleadactivities tools. Your agents can retrieve these logs to discuss the history of a deal or prospect. It helps the team reach a consensus based on real-time CRM data.

Q: Is the LeadSquared MCP Server compatible with AutoGen?

Yes, use the autogen-ext package to connect to the server. The adapter handles the tool definitions automatically, allowing your agents to start executing tasks immediately. It is designed for multi-agent workflows.

Debate and execute LeadSquared sales strategies using AutoGen agents for multi-perspective CRM management.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect LeadSquared MCP to AutoGen

Create your Vinkius account to connect LeadSquared 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 LeadSquared with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Debate lead qualification in AutoGen

Have your analysts and sales agents argue over `get_lead_details` to reach a consensus on lead quality. It prevents the common pitfall of biased manual evaluation. One agent evaluates the data while another checks the `list_lead_activities` history. They negotiate the final status before committing any updates.

Synchronize LeadSquared via MCP Server

Assign an agent to monitor the pipeline using `list_opportunities`. If a deal stalls, the agent triggers a task to update the record. Your agents use `create_or_update_lead` to ensure consistent data across teams. It keeps the CRM updated based on the findings of your automated workgroup.

Automate activity logging in AutoGen

Ensure every conversation is documented by having an agent call `create_prospect_activity`. It removes the risk of human error in logging. Agents verify the activity category using `list_activity_types` before recording. This maintains high data hygiene across your entire sales operations.

Setup guide

Set up LeadSquared 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 LeadSquared 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="LeadSquared_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent LeadSquared 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="LeadSquared_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent LeadSquared 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 LeadSquared. 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 LeadSquared 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 LeadSquared MCP in AutoGen

Register the `search_leads` tool with your AssistantAgent. You can then instruct your agents to search for specific leads as part of their conversation flow. They will use the tool output to inform their decision-making.

Yes, the `create_opportunity` tool allows your agents to open new deals. You can configure a multi-agent system where a manager agent approves the deal before the tool is called. It adds a layer of logic to your CRM operations.

Use the `list_opportunity_activities` or `list_lead_activities` tools. Your agents can retrieve these logs to discuss the history of a deal or prospect. It helps the team reach a consensus based on real-time CRM data.

Yes, use the `autogen-ext` package to connect to the server. The adapter handles the tool definitions automatically, allowing your agents to start executing tasks immediately. It is designed for multi-agent workflows.

The server operates in an ephemeral sandbox. It only touches lead contact info and sales records when an agent explicitly triggers a tool. No data is cached or shared beyond your active agent conversation.

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