Compatible with every major AI agent and IDE
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
- Subscribe to this server
- Enter your Namsor API v2 Key from your account dashboard
- Start enriching your lead and customer data from Claude, Cursor, or any MCP-compatible client
Built-in capabilities (6)
Parse a full name string
Predict country residency from name
Predict diaspora from name
g., Hispanic, Asian, White). Predict US ethnicity from name
Predict gender from name
Predict country of origin from name
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Namsor through native MCP adapters. Connect 6 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine Namsor MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Namsor queries for multi-turn workflows
Namsor in LangChain
Namsor and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Namsor to LangChain 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.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Namsor in LangChain
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 LangChain 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.

* 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
How Vinkius secures
Namsor for LangChain
Every tool call from LangChain to the Namsor MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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