Kraken MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Kraken as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Kraken. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Kraken?"
)
print(response)
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.
LlamaIndex agents combine Kraken tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Kraken MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the Kraken MCP Server
LlamaIndex provides unique advantages when paired with Kraken through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Kraken tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Kraken tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Kraken, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Kraken tools were called, what data was returned, and how it influenced the final answer
Kraken + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Kraken MCP Server delivers measurable value.
Hybrid search: combine Kraken real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Kraken to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Kraken for fresh data
Analytical workflows: chain Kraken queries with LlamaIndex's data connectors to build multi-source analytical reports
Kraken MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Kraken to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Kraken to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpKraken + LlamaIndex FAQ
Common questions about integrating Kraken MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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.
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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 LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.