How to Use the ImageCharts MCP in CrewAI

Q: How do I filter ImageCharts tools for a specific CrewAI agent?

Use the toolfilter parameter in your agent configuration to expose only the specific chart generators that agent needs to function.

Deploy a crew of autonomous agents that visualize data automatically using ImageCharts and the CrewAI framework.

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Connect ImageCharts MCP to CrewAI

Create your Vinkius account to connect ImageCharts 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 ImageCharts with CrewAI

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Autonomous visualization with CrewAI

Assign a dedicated agent to handle your reporting needs. While one agent gathers data, the visualization agent uses `generate_bar_chart` to create reports without you lifting a finger. It’s a hands-off approach to keeping your team updated with current metrics.

Role-based chart generation

Specialized agents can use specific tools to match their role. A research agent might use `generate_line_chart` to show growth, while a security agent uses `generate_qr_code` for verification tasks. This keeps your crew organized and your outputs consistent.

Integrated reporting for agent teams

Share memory between agents so the visualization agent knows exactly what the research agent discovered. The output is a clear, visual summary of the team's work. Tools like `generate_venn_diagram` help your crew illustrate logical overlaps or team findings in a single step.

Setup guide

Set up ImageCharts 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 ImageCharts tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent ImageCharts 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 →

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="ImageCharts Analyst",
        goal="Access and analyze ImageCharts data via MCP.",
        backstory="Expert analyst with direct ImageCharts access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent ImageCharts 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 ImageCharts. 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 ImageCharts MCP in CrewAI

Use the tool_filter parameter in your agent configuration to expose only the specific chart generators that agent needs to function.

Yes. You can pass the MCP server instance to your crew, and any agent with the right permissions can call the tools as needed.

It is. The manager agent can trigger visualization tasks across the entire crew, ensuring consistent reporting across all hierarchy levels.

Just define the agent's task to output data in the format required by the tool. The agent handles the parameter mapping automatically.

The server operates on a per-request basis. Only send the necessary metrics to the tools, and avoid passing sensitive user records that aren't required for the chart.

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