How to Use the ToolJet MCP in AutoGen

Drive consensus decision-making using AutoGen's multi-agent debate with ToolJet.

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Connect ToolJet MCP to AutoGen

Create your Vinkius account to connect ToolJet 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 ToolJet with AutoGen

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Perplexity

Debating Data Access

When agents need information, they can debate which tool to use. The `list_tables` tool helps the group identify all available data sources in the ToolJet Database before deciding on a query. One agent might suggest checking the schema, while another recommends querying for specific records using `query_table`.

Consensual Data Writing

Agents can debate whether or how to update data. If they reach consensus, one agent calls `insert_row`, committing the new record back into the ToolJet Database. This forces a deliberation process: does the change make sense? The agents argue until they agree on the write operation.

Orchestrating External Processes

The `trigger_workflow` tool allows the group to decide that an external system needs to be updated. Instead of just outputting text, they can initiate a webhook call. This is where the debate resolves into action: the agents agree on *when* and *why* to trigger the workflow.

Setup guide

Set up ToolJet 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 ToolJet 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="ToolJet_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ToolJet. 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.

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Common questions about ToolJet MCP in AutoGen

The MCP Server provides tools that multiple agents debate. For example, two agents might argue over whether to use `query_table` or simply ask the user for clarification.

Yes. You build a system where Agent A suggests an action, Agent B critiques it (maybe suggesting `list_tables` first), and then they converge on the final tool call.

ToolJet manages structured database tables. The agents interact with this system by executing commands like `query_table`, which deals with discrete, record-based information types.

Yes. If the debate concludes that an external service needs updating, the agents can decide to execute the `trigger_workflow` tool call as their final, agreed-upon action.

The system primarily deals with structured database records. The input/output of tools like `query_table` involves rows and columns from the underlying ToolJet Database tables.

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