How to Use the Nansen (Blockchain Analytics) MCP in Pydantic AI

Q: How do I set up Nansen (Blockchain Analytics) for Pydantic AI?

Install the slim package with MCP support. Instantiate an MCPToolset with your URL and pass it to your Agent toolsets list for immediate, type-safe access.

Q: Does Pydantic AI handle the Nansen (Blockchain Analytics) server connection efficiently?

The MCPToolset manages the connection using modern HTTP or SSE protocols. It is designed to work with external servers that you host or manage via Vinkius.

Strictly typed Nansen (Blockchain Analytics) integration for Pydantic AI agents that demand data integrity.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Nansen (Blockchain Analytics) MCP to Pydantic AI

Create your Vinkius account to connect Nansen (Blockchain Analytics) to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Nansen (Blockchain Analytics) with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Type-safe smart money tracking for Pydantic AI

Every response from `smart_money_holdings` is validated against your Pydantic models at runtime. If the data format changes, the agent stops immediately. Eliminate hallucinated fields in your analytics. Using `tgm_who_bought_sold` ensures your agent receives only the exact data structure it expects for trade analysis.

Reliable DeFi position tracking

Use `portfolio_defi_holdings` to fetch positions with full type safety. It guarantees your agent's internal state remains consistent with on-chain reality. Fail loudly if `profiler_perp_positions` returns unexpected data. This prevents silent corruption in your trading logic, keeping your risk models accurate.

High-conviction market research tools

Call `prediction_top_holders` to identify conviction in prediction markets. Pydantic AI validates these results, so your agent only acts on confirmed data points. Use `tgm_indicators` to pull risk scores directly into your agent's decision logic. The strict validation ensures your risk calculations are never based on malformed inputs.

Setup guide

Set up Nansen (Blockchain Analytics) MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "nansen-blockchain-analytics-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Nansen (Blockchain Analytics) tools.",
)

result = await agent.run("List recent Nansen (Blockchain Analytics) transactions")
print(result.output)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Nansen. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Nansen (Blockchain Analytics) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Nansen (Blockchain Analytics) MCP in Pydantic AI

Install the slim package with MCP support. Instantiate an `MCPToolset` with your URL and pass it to your `Agent` toolsets list for immediate, type-safe access.

You get runtime validation for every API response. If Nansen's schema shifts, your agent throws a validation error rather than operating on corrupted data.

Yes. The framework is model-agnostic. Whether you use local LLMs or cloud providers, your tool calls remain type-safe and consistent.

The `MCPToolset` manages the connection using modern HTTP or SSE protocols. It is designed to work with external servers that you host or manage via Vinkius.

The server only processes public token metadata and on-chain transaction logs. All validation happens locally within your Pydantic AI instance, keeping your data footprint minimal.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript