Bring Smart Money
to OpenAI Agents SDK
Learn how to connect Nansen (Blockchain Analytics) to OpenAI Agents SDK and start using 48 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
Compatible with every major AI agent and IDE
What is the Nansen (Blockchain Analytics) MCP Server?
Connect your Nansen API to any AI agent to unlock deep on-chain insights through natural language. Nansen provides the data that helps investors and teams identify opportunities and perform due diligence on-chain.
Key Capabilities
- Smart Money Tracking — Monitor where the most sophisticated on-chain entities are moving their capital with netflow and holdings tools.
- Wallet Profiling — Inspect any address or entity to see current balances, historical snapshots, and behavioral labels.
- PnL Analysis — Calculate aggregate profit and loss for specific wallets or deep dive into performance for individual tokens.
- DEX & Perp Activity — Track real-time trading on decentralized exchanges and perpetual platforms like Hyperliquid.
- Entity Search — Quickly find tokens, entities, or contract addresses by name or symbol.
How it works
- Subscribe to this server
- Enter your Nansen API Key
- Start querying blockchain data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Crypto Researchers — identify emerging trends and whale movements without manual dashboard navigation.
- Traders — monitor Smart Money flows and PnL metrics directly from their workspace.
- Developers — integrate on-chain labels and balance data into their development workflow.
Built-in capabilities (48)
Deep multi-step analysis and synthesis
Low-latency streamed answers for simple research questions
Most profitable Hyperliquid traders
Tier lookup for a wallet on the Nansen points leaderboard
Paginated Nansen points leaderboard
Track DeFi positions across protocols
Win rate, PnL, and wallet age in prediction markets
Stats for market categories (Politics, Crypto, etc.)
Browse groups of related prediction markets
Browse and filter all prediction markets
1-hour price history candles for prediction markets
Real-time bid/ask depth for prediction markets
Total PnL for a trader in prediction markets
Profitability rankings for a prediction market
Granular holder positions for prediction markets
Largest conviction holders in prediction markets
All trades for a specific wallet in prediction markets
Recent trades for a specific prediction market
Top addresses/entities interacted with
Current token balances for an address or entity
Historical holding snapshots for an address
Non-premium labels (ENS, behavioral)
Real-time Hyperliquid positions
Hyperliquid trade history
Detailed PnL for a specific address and token
Aggregate PnL and top profitable tokens
All labels including Smart Money
Wallets related by on-chain behavior
Recent blockchain transactions for an address
Search for tokens and entities by name, symbol, or contract address
DCA strategies on Jupiter (Solana)
Real-time DEX trading activity (last 24h)
Daily snapshots of smart money holdings (Beta)
Aggregated token balances held by smart money
Net capital flows (inflows vs outflows) for tokens
Perpetual trading on Hyperliquid
Individual DEX transactions for a token
Segmented flows (Exchanges, Whales, Smart Money)
Hourly snapshots of inflows/outflows by category
Top holders with balance change tracking
Risk and Reward scores for a token
Jupiter DCA orders for a token (Solana)
Rank traders by profit for a specific token
Metadata, market metrics, and spot trading stats
Unified price/volume candles (1m to 1M timeframes)
Top token transfers (ERC-20)
Summary of net buyers/sellers
Discover trending tokens across chains
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 48 tools from Nansen (Blockchain Analytics) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Nansen (Blockchain Analytics), 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
Nansen (Blockchain Analytics) in OpenAI Agents SDK
Nansen (Blockchain Analytics) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Nansen (Blockchain Analytics) 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.
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 Nansen (Blockchain Analytics) in OpenAI Agents SDK
The Nansen (Blockchain Analytics) 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 48 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.

* 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
Nansen (Blockchain Analytics) for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Nansen (Blockchain Analytics) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How can I track where Smart Money is moving capital?
Use the smart_money_netflow tool to see net capital flows (inflows vs outflows) for tokens, or smart_money_holdings to see aggregated balances held by these sophisticated entities.
Can I identify the behavior or identity of a specific wallet?
Yes, use profiler_labels or profiler_premium_labels to retrieve behavioral tags (like 'Smart Money', 'Heavy DEX User', or ENS names) associated with any blockchain address.
How do I analyze the performance of a specific address?
Use profiler_pnl_summary to get an aggregate view of profits and losses, or profiler_pnl for a detailed breakdown of performance for a specific address and token pair.
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.
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.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
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