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Vinkius
OpenAI Agents SDKSDK
OpenAI Agents SDK
Namsor MCP Server

Bring Demographic Analysis
to OpenAI Agents SDK

Learn how to connect Namsor to OpenAI Agents SDK and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Parse Full NamePredict CountryPredict DiasporaPredict EthnicityPredict GenderPredict Origin

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Namsor

What is the Namsor MCP Server?

Connect your Namsor account to any AI agent and simplify your name analytics and demographic enrichment through natural conversation.

What you can do

  • Gender Prediction — Analyze first and last names to determine gender with high accuracy and probability metrics
  • Origin & Residency — Predict a name's country of origin and likely current country of residency
  • Ethnicity Tracking — Query US-specific ethnicity models (Hispanic, Asian, Black, White) for localized demographic insights
  • Name Parsing — Break down complex full name strings into structured components (prefix, first, last, suffix)
  • Diaspora Insights — Predict the diaspora group or ethnic cluster for a name within a specific country context

How it works

  1. Subscribe to this server
  2. Enter your Namsor API v2 Key from your account dashboard
  3. Start enriching your lead and customer data from Claude, Cursor, or any MCP-compatible client

Built-in capabilities (6)

parse_full_name

Parse a full name string

predict_country

Predict country residency from name

predict_diaspora

Predict diaspora from name

predict_ethnicity

g., Hispanic, Asian, White). Predict US ethnicity from name

predict_gender

Predict gender from name

predict_origin

Predict country of origin from name

Why OpenAI Agents SDK?

The OpenAI Agents SDK auto-discovers all 6 tools from Namsor through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Namsor, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

  • 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

O
See it in action

Namsor in OpenAI Agents SDK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Namsor and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Namsor to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Namsor in OpenAI Agents SDK

The Namsor 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. All 6 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Namsor
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures Namsor for OpenAI Agents SDK

Every tool call from OpenAI Agents SDK to the Namsor MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I predict gender using only a name?

Yes! Use the predict_gender tool. Provide the first and last name, and the agent will return the most likely gender and its probability.

02

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.

03

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.

04

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

05

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

06

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

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