HappierLeads MCP Server for AutoGenGive AutoGen instant access to 17 tools to Check Happier Status, Get Analytics, Get Lead, and more
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add HappierLeads 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 HappierLeads app connector for AutoGen is a standout in the Sales Automation category — giving your AI agent 17 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="happierleads_alternative_agent",
tools=tools,
system_message=(
"You help users with HappierLeads. "
"17 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 HappierLeads MCP Server
Connect your HappierLeads account to any AI agent and turn anonymous website traffic into identified B2B leads through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use HappierLeads tools. Connect 17 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
- Visitor Identification — List all identified B2B visitors with company data, filter by country, and search by company name or domain
- Lead Management — Browse all identified companies, filter by industry vertical, and focus on qualified high-intent leads
- Session Analysis — Inspect individual browsing sessions with page-by-page navigation paths and time spent
- Page View Tracking — List all pages viewed by a specific visitor for engagement insights
- Segmentation — Browse saved visitor segments and inspect criteria for targeted analysis
- Real-Time Alerts — Access notifications for high-value visitor activity
- Analytics Dashboard — Retrieve traffic overview: visitor count, identified companies, conversion rates, and top pages
The HappierLeads MCP Server exposes 17 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 17 HappierLeads tools available for AutoGen
When AutoGen connects to HappierLeads through Vinkius, your AI agent gets direct access to every tool listed below — spanning visitor-identification, b2b-prospecting, intent-data, 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.
Verify connectivity
Get analytics overview
Get lead details
Get segment details
Get session details
Get top pages
Get visitor details
List identified leads
Filter leads by industry
List notifications
List page views
List qualified leads
List segments
List visitor sessions
List website visitors
Filter visitors by country
Search visitors
Connect HappierLeads to AutoGen via MCP
Follow these steps to wire HappierLeads 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 HappierLeads MCP Server
AutoGen provides unique advantages when paired with HappierLeads through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use HappierLeads tools to solve complex tasks
Role-based architecture lets you assign HappierLeads 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 HappierLeads tool calls
Code execution sandbox: AutoGen agents can write and run code that processes HappierLeads tool responses in an isolated environment
HappierLeads + AutoGen Use Cases
Practical scenarios where AutoGen combined with the HappierLeads MCP Server delivers measurable value.
Collaborative analysis: one agent queries HappierLeads while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from HappierLeads, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using HappierLeads data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process HappierLeads responses in a sandboxed execution environment
Example Prompts for HappierLeads in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with HappierLeads immediately.
"Show all qualified leads from this week and the pages they viewed."
"Show the analytics dashboard and which pages drive the most identified companies."
"Search for visitors from 'fintech' companies and show sessions for the most engaged one."
Troubleshooting HappierLeads MCP Server with AutoGen
Common issues when connecting HappierLeads to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"HappierLeads + AutoGen FAQ
Common questions about integrating HappierLeads MCP Server with AutoGen.
