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Vinkius

Kraken MCP Server for Mastra AI 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

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.

Vinkius supports streamable HTTP and SSE.

typescript
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();
Kraken
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

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.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Kraken without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Kraken tool response with IDE autocomplete and compile-time checks

04

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.

01

Automated workflows: build multi-step agents that query Kraken, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Kraken as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Kraken on a cron and store results in your database automatically

04

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:

01

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

02

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

03

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

04

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

05

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

06

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

07

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

08

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.

01

"What is the current price of Bitcoin in USD?"

02

"Show me the 1-hour OHLC for Ethereum over the last 24 candles."

03

"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.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Kraken + Mastra AI FAQ

Common questions about integrating Kraken MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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.