How to Use the ImageCharts MCP in Pydantic AI

Stop silent visual bugs by validating ImageCharts parameters at runtime with Pydantic AI.

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Connect ImageCharts MCP to Pydantic AI

Create your Vinkius account to connect ImageCharts to Pydantic AI 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 Pydantic AI

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Type-Safe Visualizations via MCP Server

The ImageCharts MCP Server prevents runtime failures by validating every chart parameter inside your Pydantic AI agent. This integration ensures that every parameter passed to `generate_bar_chart` or `generate_line_chart` matches strict type definitions before execution. If your Pydantic AI agent tries to pass text where a numeric array is expected, the system fails loudly. You catch these bugs during execution rather than displaying broken image links to your users. This strict validation makes your Pydantic AI data pipelines incredibly reliable.

Strict Structure for Complex Charts

This chart generation server ensures that multi-dimensional data rendered with `generate_radar_chart` or `generate_scatter_plot` matches exact formatting rules. The Pydantic AI framework validates the coordinate pairs and series labels against structured schemas. This strict validation applies to all ten tools, including `generate_pie_chart` and `generate_doughnut_chart`. Your Pydantic AI agent outputs predictable, perfectly formatted charts every single time. You never have to worry about silent visual corruption in your production reports.

Reliable Code and Link Generation

Generating reliable physical links is managed directly by the `generate_qr_code` tool inside your Pydantic AI application. The type-safe setup guarantees the input parameters are sanitized before the image is generated. Your Pydantic AI workflow can safely generate complex relational diagrams using `generate_venn_diagram` or `generate_polar_area_chart`. Every output is backed by runtime schema enforcement, removing the guesswork from agent-generated visuals. The MCP Server handles the conversion, and your Pydantic AI agent receives a validated, clean URL.

Setup guide

Set up ImageCharts MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "imagecharts-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to ImageCharts tools.",
)

result = await agent.run("List recent ImageCharts transactions")
print(result.output)

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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 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 Pydantic AI

Use the unified MCPToolset class with your Vinkius endpoint URL and pass it to the toolsets argument of your Pydantic AI Agent. Do not use the deprecated HTTP class.

The framework inspects the tool schemas exposed by the ImageCharts MCP Server. When your Pydantic AI agent calls `generate_bubble_chart`, the inputs are validated against these schemas at runtime.

Yes. Because Pydantic AI is model-agnostic, you can use these ImageCharts tools with Anthropic, Gemini, or local models while maintaining strict type safety.

The setup supports both Streamable HTTP and SSE transports. Since Vinkius hosts the server externally, the HTTP transport is the standard way to connect.

The validation layer filters out invalid payloads before they leave your environment. The actual parameters are sent over secure HTTPS to generate the charts, and no input values are stored or logged on disk.

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