IPQualityScore (IPQS) 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 IPQualityScore (IPQS) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 IPQualityScore (IPQS). "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in IPQualityScore (IPQS)?"
)
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 IPQualityScore (IPQS) MCP Server
Empower your AI agents to protect your platform with IPQualityScore (IPQS). This MCP server allows you to perform real-time lookups for IPs, emails, URLs, and phone numbers to detect fraud, bots, and high-risk activity. Ideal for automating security checks and enhancing risk management.
LlamaIndex agents combine IPQualityScore (IPQS) 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.
The IPQualityScore (IPQS) 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 IPQualityScore (IPQS) to LlamaIndex via MCP
Follow these steps to integrate the IPQualityScore (IPQS) 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 IPQualityScore (IPQS)
Why Use LlamaIndex with the IPQualityScore (IPQS) MCP Server
LlamaIndex provides unique advantages when paired with IPQualityScore (IPQS) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine IPQualityScore (IPQS) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain IPQualityScore (IPQS) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query IPQualityScore (IPQS), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what IPQualityScore (IPQS) tools were called, what data was returned, and how it influenced the final answer
IPQualityScore (IPQS) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the IPQualityScore (IPQS) MCP Server delivers measurable value.
Hybrid search: combine IPQualityScore (IPQS) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query IPQualityScore (IPQS) 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 IPQualityScore (IPQS) for fresh data
Analytical workflows: chain IPQualityScore (IPQS) queries with LlamaIndex's data connectors to build multi-source analytical reports
IPQualityScore (IPQS) MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect IPQualityScore (IPQS) to LlamaIndex via MCP:
email_lookup
Returns a risk score and validation flags. Use this to vet new user registrations and prevent fraudulent accounts. Analyzes an email address for fraud and deliverability
get_account
Use to verify plan status and current configuration. Retrieves details about your IPQS account
get_credits
Essential for ensuring the service remains active and within quota. Retrieves credit usage and balance information
ip_lookup
Returns fraud scores, proxy/VPN detection results, and geographical data. Essential for identifying malicious users or automated bots during sign-up or transaction processes. Analyzes an IP address for fraud and proxy detection
list_conversions
Useful for e-commerce and affiliate management auditing. Lists tracked conversions
list_fraud
Essential for high-level security auditing and threat monitoring. Lists recent fraud event logs
list_reports
Useful for auditing recent security triggers. Lists recent fraud reports
list_stats
Useful for monitoring integration health. Lists usage statistics for your account
phone_lookup
Returns line type and risk indicators. Use for identity verification and fraud prevention. Analyzes a phone number for fraud and risk
url_lookup
Returns a risk score and classification of the site. Use this to audit suspicious links provided by users or found in communication. Analyzes a URL for malicious activity
Example Prompts for IPQualityScore (IPQS) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with IPQualityScore (IPQS) immediately.
"Analyze the IP address 8.8.8.8 for fraud risk."
"Verify if the email address 'fraudster@test.com' is risky."
"Check this URL for potential malware: http://malicious-site.com"
Troubleshooting IPQualityScore (IPQS) MCP Server with LlamaIndex
Common issues when connecting IPQualityScore (IPQS) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpIPQualityScore (IPQS) + LlamaIndex FAQ
Common questions about integrating IPQualityScore (IPQS) 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 IPQualityScore (IPQS) with your favorite client
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect IPQualityScore (IPQS) to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.