How to Use the DataDome MCP in LlamaIndex

Q: Can LlamaIndex query DataDome security stats?

Yes. You trigger getprotectionstats and add the returned counts to your index. This allows the agent to answer questions about block rates based on live data.

Q: Does LlamaIndex support DataDome tool filtering?

You can use an allowedtools list to restrict which functions the agent calls. This ensures only specific security audit tools are available to the model.

Index live security data into LlamaIndex for RAG-powered threat analysis and historical incident lookup using the DataDome MCP Server.

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Connect DataDome MCP to LlamaIndex

Create your Vinkius account to connect DataDome 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 DataDome with LlamaIndex

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Index DataDome logs for LlamaIndex RAG

Call `list_access_logs` to feed request history into your vector store. LlamaIndex turns these logs into a searchable knowledge base for your AI. You can query past incidents by asking questions about specific IP patterns or bot behaviors. The model retrieves context from the index to explain what happened.

Search threats by type in LlamaIndex

Use `search_threats_by_type` to find specific attack vectors within your indexed data. It isolates crawlers or scrapers based on your input. Once the tool returns the list, LlamaIndex adds the findings to the current context. This keeps your RAG system grounded in the latest security incidents.

Audit protection stats with LlamaIndex

Retrieve dashboard data using `get_protection_stats` and index the results. You get a clear picture of allowed versus blocked requests over time. This gives your agent a historical baseline for security. It compares real-time metrics against your index to spot anomalies that look like new threats.

Setup guide

Set up DataDome 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 DataDome 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 DataDome tools.",
)
response = await agent.run("List recent DataDome data")

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Common questions about DataDome MCP in LlamaIndex

You run the tool to fetch logs and then pass the output to your LlamaIndex document loader. It converts the JSON output into a searchable vector index.

Yes. You trigger `get_protection_stats` and add the returned counts to your index. This allows the agent to answer questions about block rates based on live data.

The server handles all requests locally. You decide which specific security logs and threat IDs are sent to your vector store for indexing.

You can use an allowed_tools list to restrict which functions the agent calls. This ensures only specific security audit tools are available to the model.

It provides sensitive request headers, IP addresses, and behavioral patterns. This information is treated as protected security data and only exposed through authenticated tool calls.

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