How to Use the Image-Charts MCP in CrewAI

Deploy autonomous charting agents in CrewAI with this powerful MCP Server integration.

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Connect Image-Charts MCP to CrewAI

Create your Vinkius account to connect Image-Charts 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 Image-Charts with CrewAI

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Claude

Perplexity

Role-based charting in CrewAI

Assign `generate_chart_url` to your research agent to visualize findings instantly. It keeps the output lightweight while the rest of the crew continues their analysis. This lets your agents hand off visual data to a moderator agent. The moderator then decides if the chart meets the quality bar for the final report.

Advanced POST rendering for crew tasks

When your analysis agent discovers complex trends, use `render_chart_post` to generate the image. The tool returns a Base64 string that other agents can store in their shared memory. This is essential for high-fidelity reporting. It ensures no data is lost during the handoff between specialized agents.

Selective tool usage in your crew

Filter which agents can access this MCP Server using the tool_filter utility. You don't want every agent generating charts, just the ones tasked with reporting. It keeps your crew focused. By restricting tool exposure, you reduce noise and ensure that only the right agent handles the visualization workload.

Setup guide

Set up Image-Charts 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 Image-Charts tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Image-Charts 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="Image-Charts Analyst",
        goal="Access and analyze Image-Charts data via MCP.",
        backstory="Expert analyst with direct Image-Charts access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Image-Charts 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 Image-Charts. 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 Image-Charts MCP in CrewAI

Pass the server URL in the mcps list within your Agent definition. The agents will automatically detect and gain access to the available tools.

Yes. Agents can generate and share charts without human help, making them ideal for continuous monitoring and automated status updates.

They can. Using the POST tool allows your agents to process large datasets that would otherwise break standard URL-based charts.

The server uses isolated memory for each call. Your data never persists, and it remains inaccessible to any other user or process.

It requires a single endpoint token from Vinkius. You pass this to your agent setup to authorize the connection.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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