Anura MCP Server for LlamaIndex 1 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Anura 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 Anura. "
"You have 1 tools available."
),
)
response = await agent.run(
"What tools are available in Anura?"
)
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 Anura MCP Server
Protect your advertising spend with the Anura MCP Server. This integration allows your AI agent to interact directly with Anura.io's advanced fraud detection engine. Validate visitor traffic in real-time, monitor campaign health, and retrieve detailed fraud reports without leaving your workspace.
LlamaIndex agents combine Anura tool responses with indexed documents for comprehensive, grounded answers. Connect 1 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
- Real-Time Validation — Check if a visitor (IP + User-Agent) is 'Good', 'Warning', or 'Bad' instantly.
- Campaign Monitoring — List monitored campaigns and traffic sources to identify where fraud is coming from.
- Detailed Reporting — List, retrieve, and download comprehensive fraud reports for deep analysis.
- Fraud Statistics — Get summarized statistics for specific time ranges to track fraud trends over time.
- System Health — Check Anura's current system status to ensure reliable monitoring.
The Anura MCP Server exposes 1 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 Anura to LlamaIndex via MCP
Follow these steps to integrate the Anura 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 1 tools from Anura
Why Use LlamaIndex with the Anura MCP Server
LlamaIndex provides unique advantages when paired with Anura through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Anura tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Anura tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Anura, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Anura tools were called, what data was returned, and how it influenced the final answer
Anura + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Anura MCP Server delivers measurable value.
Hybrid search: combine Anura real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Anura 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 Anura for fresh data
Analytical workflows: chain Anura queries with LlamaIndex's data connectors to build multi-source analytical reports
Anura MCP Tools for LlamaIndex (1)
These 1 tools become available when you connect Anura to LlamaIndex via MCP:
get_system_status
Check Anura system status
Example Prompts for Anura in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Anura immediately.
"Validate visitor with IP 1.2.3.4 and User-Agent 'Mozilla/5.0...'"
"Show me the fraud statistics for the last 7 days."
"List my active campaigns in Anura."
Troubleshooting Anura MCP Server with LlamaIndex
Common issues when connecting Anura to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAnura + LlamaIndex FAQ
Common questions about integrating Anura 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 Anura 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 Anura to LlamaIndex
Get your token, paste the configuration, and start using 1 tools in under 2 minutes. No API key management needed.