How to Use the ImageCharts MCP in LlamaIndex

Q: How does LlamaIndex store the outputs generated by ImageCharts?

LlamaIndex takes the image URLs returned by tools like generatedoughnutchart and indexes them as metadata within your document nodes. You can then query these nodes semantically, retrieving both the text summary and the chart link.

Index and query live charts directly within your LlamaIndex knowledge graphs.

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Connect ImageCharts MCP to LlamaIndex

Create your Vinkius account to connect ImageCharts to LlamaIndex 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 LlamaIndex

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Index live visual data with LlamaIndex

The `generate_line_chart` tool converts numerical time-series data from your vector index into persistent visual trends. Your LlamaIndex agent calls this tool to create visual representations of historical query data on the fly. Once generated, the image URL and its metadata are indexed back into your document store. This lets you run semantic searches over past visual reports without regenerating them from scratch.

Searchable QR codes in your knowledge base

The `generate_qr_code` tool encodes index metadata, document links, or configuration objects into scannable images. Your LlamaIndex pipeline uses this tool to bridge digital assets with physical tracking codes. The generated code links are stored alongside your vector nodes. This allows your agent to retrieve and display the correct visual code during semantic search queries.

Analyze data distributions using an MCP Server

The `generate_polar_area_chart` tool displays cyclical data distributions directly from your indexed tables. Your LlamaIndex agent calls this tool when a user asks for a structural breakdown of stored metrics. By integrating this MCP Server, the agent bypasses complex frontend plotting libraries. It simply reads the index, formats the parameters, and outputs the rendered chart.

Setup guide

Set up ImageCharts MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all ImageCharts MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to ImageCharts tools.",
)
response = await agent.run("List recent ImageCharts data")

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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 LlamaIndex

LlamaIndex takes the image URLs returned by tools like `generate_doughnut_chart` and indexes them as metadata within your document nodes. You can then query these nodes semantically, retrieving both the text summary and the chart link.

Yes. Your LlamaIndex agent queries the vector store, extracts the numeric arrays, and passes them to the `generate_scatter_plot` tool. The resulting chart URL is returned directly to your user interface.

You initialize the MCP client pointing to the Vinkius endpoint, then wrap it in McpToolSpec. Pass this spec to your LlamaIndex FunctionAgent to make all 10 chart tools available.

Yes. Your agent can read unstructured documents, extract comparison metrics, and use `generate_venn_diagram` or `generate_bar_chart` to create a visual comparison.

Only the specific numeric values and labels passed to tools like `generate_pie_chart` are sent to the rendering endpoint. This transmission happens over encrypted HTTPS, and V8's zero-trust gateway ensures no raw document text is ever exposed.

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