NumVerify MCP Server for OpenAI Agents SDK 4 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect NumVerify through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="NumVerify Assistant",
instructions=(
"You help users interact with NumVerify. "
"You have access to 4 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from NumVerify"
)
print(result.final_output)
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 NumVerify MCP Server
Empower your AI agent to orchestrate your entire phone validation and identity verification workflow with NumVerify, the global API for phone number intelligence. By connecting NumVerify to your agent, you transform complex validation tasks into a natural conversation. Your agent can instantly verify if a number is valid, audit carrier information, and retrieve geographic location data without you ever touching a manual lookup tool. Whether you are cleaning lead lists or verifying user identity, your agent acts as a real-time communications analyst, ensuring your phone data is always verified and accurate.
The OpenAI Agents SDK auto-discovers all 4 tools from NumVerify through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries NumVerify, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Phone Auditing — Verify if any international phone number is valid and retrieve detailed metadata, including country and dial codes.
- Carrier Oversight — Identify the current carrier for a phone number to maintain a clear view of network distribution.
- Location Discovery — Retrieve the geographic location (city/region) associated with a phone number instantly.
- Line-type Intelligence — Identify if a number is a mobile, landline, or VoIP line to optimize your communication strategy.
- Metadata Integrity — Retrieve official country names and formatting details to maintain strict organizational control over your contact data.
The NumVerify MCP Server exposes 4 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 NumVerify to OpenAI Agents SDK via MCP
Follow these steps to integrate the NumVerify MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 4 tools from NumVerify
Why Use OpenAI Agents SDK with the NumVerify MCP Server
OpenAI Agents SDK provides unique advantages when paired with NumVerify through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
NumVerify + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the NumVerify MCP Server delivers measurable value.
Automated workflows: build agents that query NumVerify, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries NumVerify, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through NumVerify tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query NumVerify to resolve tickets, look up records, and update statuses without human intervention
NumVerify MCP Tools for OpenAI Agents SDK (4)
These 4 tools become available when you connect NumVerify to OpenAI Agents SDK via MCP:
get_phone_carrier
Get carrier information for a phone number
get_phone_line_type
Identify if a phone number is mobile, landline, or other
get_phone_location
Get geographic location details for a phone number
validate_phone
Verify if a phone number is valid and retrieve metadata
Example Prompts for NumVerify in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with NumVerify immediately.
"Validate the phone number +14158586273 using NumVerify."
"Identify the carrier for +442071838750."
"Check if +5511999999999 is a mobile line."
Troubleshooting NumVerify MCP Server with OpenAI Agents SDK
Common issues when connecting NumVerify to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
NumVerify + OpenAI Agents SDK FAQ
Common questions about integrating NumVerify MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect NumVerify 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 NumVerify to OpenAI Agents SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.