How to Use the Hotjar MCP in AutoGen

Q: How do I inject Hotjar tools into an AutoGen agent?

Use mcpservertools with StreamableHttpServerParams. Pass the resulting tool list directly into the AssistantAgent constructor.

Equip your AutoGen multi-agent teams with Hotjar data to debate UX changes and reach consensus on conversion bottlenecks.

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Connect Hotjar MCP to AutoGen

Create your Vinkius account to connect Hotjar 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.

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Setup Hotjar with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Agents debate Hotjar metrics

You assign different roles to your AutoGen assistants. A UX agent pulls drop-off rates using `list_funnels`, while a technical agent runs `list_recordings` to check for browser crashes. They discuss the findings in real-time. If the UX agent blames the copy, the technical agent counters with `get_heatmap` data proving users actually clicked a broken button.

Consensus-driven analysis

Single agents get stuck in loops. A multi-agent setup forces validation. One agent gathers the raw numbers via `get_survey_stats`, and another reads the verbatim comments from `list_survey_responses`. They negotiate the root cause of the problem. The MCP Server feeds them live data through the McpToolAdapter, ensuring their debate stays grounded in reality.

Connect tools via AutoGen MCP Server

Users often complain in one place and behave differently in another. Your feedback agent monitors `list_feedback` for new widget submissions. When a low rating hits, it alerts the session agent. That agent immediately triggers `lookup_user` and `get_recording` to watch exactly what frustrated the customer.

Setup guide

Set up Hotjar 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 Hotjar 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="Hotjar_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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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="Hotjar_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

Get your connection token →

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Common questions about Hotjar MCP in AutoGen

Use mcp_server_tools with StreamableHttpServerParams. Pass the resulting tool list directly into the AssistantAgent constructor.

Yes. You provide the tool list to any agent that needs it. They share the same Vinkius endpoint token for authentication.

It supports both stdio and Streamable HTTP. For Vinkius hosted servers, you will use the HTTP transport to connect over the web.

AutoGen reads the schema provided by the MCP endpoint. It understands that `list_surveys` requires a site ID and automatically asks another agent if it needs that parameter.

Vinkius enforces strict zero-trust boundaries. Even if your agents run a broad `lookup_user` query, the data passes through an ephemeral V8 Isolate that destroys itself after the request completes.

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