Kraken MCP Server for Mastra AI 8 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Kraken through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"kraken": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Kraken Agent",
instructions:
"You help users interact with Kraken " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Kraken?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Kraken tool infrastructure. Connect 8 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra 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 Mastra AI via MCP
Follow these steps to integrate the Kraken MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 8 tools from Kraken via MCP
Why Use Mastra AI with the Kraken MCP Server
Mastra AI provides unique advantages when paired with Kraken through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Kraken without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Kraken tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Kraken + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Kraken MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Kraken, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Kraken as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Kraken on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Kraken tools alongside other MCP servers
Kraken MCP Tools for Mastra AI (8)
These 8 tools become available when you connect Kraken to Mastra 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 Mastra AI
Ready-to-use prompts you can give your Mastra 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 Mastra AI
Common issues when connecting Kraken to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpKraken + Mastra AI FAQ
Common questions about integrating Kraken MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Kraken with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Mastra AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
