How to Use the ToolJet MCP in CrewAI

Q: How can CrewAI use ToolJet for data analysis?

You assign a 'Data Analyst' role that uses querytable. The agent pulls the necessary records into shared memory, allowing a second 'Report Generator' agent to analyze that specific dataset.

Q: Does ToolJet help CrewAI manage database changes?

Yes. An 'Admin Agent' can use insertrow to log decisions or outcomes into a ToolJet Database table, keeping an accurate audit trail visible to the whole crew.

Q: What is the best way to start operations with ToolJet and CrewAI?

Use listtables first. This allows your monitoring agent to understand the available data structures before any other specialized task begins, guaranteeing a solid foundation for the crew.

Run specialized, autonomous operations against ToolJet databases using CrewAI multi-agent collaboration.

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Connect ToolJet MCP to CrewAI

Create your Vinkius account to connect ToolJet to CrewAI 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 CrewAI

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Perplexity

Coordinate data discovery across teams.

The `list_tables` tool lets one agent discover all available tables in the ToolJet Database. A second agent can then use that knowledge to plan a multi-part investigation into the system's structure. This is great for complex monitoring tasks: Agent A lists the schemas, and Agent B uses that list to determine which data needs checking next.

Collect specific operational data records.

An analyst agent can use `query_table` to retrieve precise records from a ToolJet Database table. This collected data becomes shared memory for the rest of the crew members. A specialized reporting agent takes this output and analyzes it, ensuring that all necessary information is pulled in one go before generating a final summary.

Automate external process triggers.

If a key metric changes, an action agent can use `trigger_workflow` to notify or update another system via webhook. The crew acts like a true operations team. A moderator agent watches the primary workflow's output and decides if it needs to escalate by calling this trigger tool, ensuring no process is left hanging.

Setup guide

Set up ToolJet MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke ToolJet tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="ToolJet Analyst",
    goal="Access and analyze ToolJet data via MCP.",
    backstory="Expert analyst with direct ToolJet access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent ToolJet transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="ToolJet Analyst",
        goal="Access and analyze ToolJet data via MCP.",
        backstory="Expert analyst with direct ToolJet access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent ToolJet transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 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 CrewAI

You assign a 'Data Analyst' role that uses `query_table`. The agent pulls the necessary records into shared memory, allowing a second 'Report Generator' agent to analyze that specific dataset.

Yes. An 'Admin Agent' can use `insert_row` to log decisions or outcomes into a ToolJet Database table, keeping an accurate audit trail visible to the whole crew.

Use `list_tables` first. This allows your monitoring agent to understand the available data structures before any other specialized task begins, guaranteeing a solid foundation for the crew.

Absolutely. You can chain tools: Agent A queries data, and if the result meets criteria X, it triggers a workflow via `trigger_workflow` to handle the next step autonomously.

This server touches database records (the data type). Because multiple agents are involved, ensure that all agents have the minimum necessary permissions to access and modify the required tables.

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