Kraken MCP Server for Pydantic AI 8 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Kraken through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Kraken "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in Kraken?"
)
print(result.data)
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 Kraken MCP Server
Connect to Kraken and access real-time cryptocurrency market data through natural conversation — no API key needed for public data.
Pydantic AI validates every Kraken tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Live Tickers — Get current prices, 24h volume, VWAP and high/low for any trading pair
- OHLC Candles — Retrieve candlestick data with multiple timeframes (1m to 15d)
- Order Book — View current bids and asks with market depth analysis
- Recent Trades — See the most recent completed trades with price, volume and side
- Asset Info — Get details about all supported cryptocurrencies and fiat currencies
- Trading Pairs — Explore all available trading pairs with their specifications
- Spread Data — Analyze bid/ask spreads for liquidity assessment
The Kraken MCP Server exposes 8 tools through the Vinkius. Connect it to Pydantic AI 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 Kraken to Pydantic AI via MCP
Follow these steps to integrate the Kraken MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from Kraken with type-safe schemas
Why Use Pydantic AI with the Kraken MCP Server
Pydantic AI provides unique advantages when paired with Kraken through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Kraken integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Kraken connection logic from agent behavior for testable, maintainable code
Kraken + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Kraken MCP Server delivers measurable value.
Type-safe data pipelines: query Kraken with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Kraken tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Kraken and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Kraken responses and write comprehensive agent tests
Kraken MCP Tools for Pydantic AI (8)
These 8 tools become available when you connect Kraken to Pydantic AI via MCP:
get_asset_info
Returns asset name, alternate names, decimals, status and collateral support. Optionally filter by specific assets (comma-separated). Get information about Kraken assets
get_asset_pairs
Returns pair name, alt name, base/quote assets, lot volume decimals, pair decimals, order minimums and trading leverage. Optionally filter by a specific pair. Get information about Kraken trading pairs
get_ohlc
Each candle includes time, open, high, low, close, VWAP, volume and trade count. Supports intervals: 1 (1min), 5, 15, 30, 60 (1h), 240 (4h), 1440 (1d), 10080 (1w), 21600 (15d). Optionally provide since timestamp for incremental data. Get OHLCV candlestick data for a trading pair
get_order_book
Each level includes price and volume. The count parameter controls the number of levels returned (1-500, default 100). Useful for analyzing market depth and liquidity. Get the current order book for a trading pair
get_server_time
Returns the Unix timestamp and RFC 1123 time. Useful for synchronizing with the exchange server and verifying API connectivity. Get Kraken server time
get_spread
Returns recent spreads with bid price, ask price, time (Unix timestamp) and volume. Useful for analyzing liquidity and trading costs. Get recent spread data for a trading pair
get_ticker
Returns best bid/ask prices, last trade price, 24h volume, VWAP, high/low prices and trade counts. Pair names can be standard (XBTUSD) or alt (BTCUSD). Multiple pairs comma-separated. Get current ticker information for trading pairs
get_trades
Each trade includes price, volume, time (Unix timestamp), side (buy/sell), order type (market/limit) and misc info. Returns up to 1000 most recent trades. Optionally provide since timestamp for pagination. Get recent trades for a trading pair
Example Prompts for Kraken in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Kraken immediately.
"What is the current price of Bitcoin in USD?"
"Show me the 1-hour OHLC for Ethereum over the last 24 candles."
"What are the recent trades for SOL/USD?"
Troubleshooting Kraken MCP Server with Pydantic AI
Common issues when connecting Kraken to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiKraken + Pydantic AI FAQ
Common questions about integrating Kraken MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Kraken 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 Kraken to Pydantic AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.