DataDome MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add DataDome as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to DataDome. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in DataDome?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About DataDome MCP Server
Integrate DataDome, the leading bot protection and fraud prevention solution, directly into your AI workflow. Monitor your web and mobile applications for automated threats, audit protected endpoints, and track real-time protection statistics using natural language.
LlamaIndex agents combine DataDome tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Threat Monitoring — List and retrieve full details for recently detected bot threats and suspicious activities.
- Endpoint Auditing — Monitor the health and protection status of all your integrated web and mobile endpoints.
- Protection Insights — Access real-time statistics and dashboard data on bot traffic and mitigation.
- Rule Management — List custom bot rules and explore bypass tokens configured in your account.
The DataDome MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect DataDome to LlamaIndex via MCP
Follow these steps to integrate the DataDome MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from DataDome
Why Use LlamaIndex with the DataDome MCP Server
LlamaIndex provides unique advantages when paired with DataDome through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine DataDome tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain DataDome tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query DataDome, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what DataDome tools were called, what data was returned, and how it influenced the final answer
DataDome + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the DataDome MCP Server delivers measurable value.
Hybrid search: combine DataDome real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query DataDome to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying DataDome for fresh data
Analytical workflows: chain DataDome queries with LlamaIndex's data connectors to build multi-source analytical reports
DataDome MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect DataDome to LlamaIndex via MCP:
get_bot_traffic_summary
Returns a summary of traffic from "Good Bots" (e.g., search engines) versus "Bad Bots" (e.g., scrapers, scrapers) and their impact on total traffic. Get a summary of bot traffic categorized by type
get_endpoint_health
Returns latency metrics, error rates, and the current operational state of the DataDome integration for the endpoint. Check the health status of a specific protected endpoint
get_protection_stats
Returns real-time counts of allowed vs. blocked requests, captcha pass rates, and identified bot categories. Retrieve real-time protection statistics and dashboard data
get_threat_details
Resolves detailed request headers, behavioral patterns, and the specific detection logic triggered. Get full technical details for a specific threat ID
list_access_logs
Returns a stream of recent requests processed by DataDome, including bot scores, decision outcomes, and geo-location data. List recent access logs filtered by DataDome
list_custom_bot_rules
Returns a list of custom bot detection rules, including match criteria (IP, User-Agent, etc.), action (allow/block/captcha), and rule priority. List all custom blocking and allowing rules
list_protected_applications
Returns application names, API keys (masked), and the types of protection enabled (Web/Mobile/API). List all applications (mobile, web) integrated with DataDome
list_protected_endpoints
Returns metadata including endpoint URLs, protection status, and associated application IDs. List all endpoints protected by DataDome
list_recent_threats
Returns a list of recent security incidents including threat types (e.g., scraping, credential stuffing), origin IPs, and detection timestamps. List recently detected bot threats and suspicious activities
search_threats_by_type
Matches the provided threat type against recent incidents to isolate specific attack vectors like "scraper" or "crawler". Search for recent threats by threat type keyword
Example Prompts for DataDome in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with DataDome immediately.
"List all recent bot threats detected in the last 24 hours."
"Check the health status of our main 'Mobile App' endpoint."
"What is the summary of bot traffic for this week?"
Troubleshooting DataDome MCP Server with LlamaIndex
Common issues when connecting DataDome to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDataDome + LlamaIndex FAQ
Common questions about integrating DataDome MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect DataDome with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect DataDome to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.