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Kraken

Kraken

by pipeworx-io

@pipeworx/kraken

Kraken MCP — keyless public market endpoints.

Part of Pipeworx — an MCP gateway connecting AI agents to 1865+ live data sources. This is an independent, unofficial integration — not affiliated with, endorsed by, or published by the upstream provider.

Tools

  • server_time() — server time

  • system_status() — exchange status

  • assets(asset?, aclass?) — asset info (BTC, ETH, …)

  • asset_pairs(pair?, info?) — pair info (e.g. XXBTZUSD)

  • ticker(pair) — current ticker

  • ohlc(pair, interval?, since?) — OHLC candles

  • depth(pair, count?) — orderbook

  • trades(pair, since?, count?) — recent trades

  • spread(pair, since?) — recent spread

Related MCP server: mcp-kraken

Data source

https://api.kraken.com/0/public

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "kraken": {
      "url": "https://gateway.pipeworx.io/kraken/mcp"
    }
  }
}

What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/kraken/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Both URLs reach the same gateway and the same 1865+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

No MCP client? Call it over HTTP

curl -X POST https://gateway.pipeworx.io/v1/tools/server_time \
  -H 'Content-Type: application/json' \
  -d '{}'

No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/server_time. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.

Run it from npm

@pipeworx/mcp-kraken is a local stdio bridge to the Pipeworx gateway: your MCP client starts it with npx, and it forwards every call to the same https://gateway.pipeworx.io/kraken/mcp endpoint shown above. It needs network access; there is no offline mode.

{
  "mcpServers": {
    "kraken": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-kraken"]
    }
  }
}

Without a key it calls anonymously, capped at 50 calls a day. A free account raises that to 200 a day: get a key at https://pipeworx.io/signup and add "env": { "PIPEWORX_API_KEY": "<your key>" } to the server entry. The key is sent as a Bearer token, the same way a hosted connection sends it, so calls are metered and billed exactly as they are there.

It lists only this pack's tools by default. Set PIPEWORX_META_TOOLS=1 to also list ask_pipeworx and the other gateway-wide tools.

Behind an HTTPS proxy: Node's built-in fetch does not read HTTPS_PROXY by default. Newer Node releases honour it when NODE_USE_ENV_PROXY=1 is set; check your Node version's documentation.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

ask_pipeworx({ question: "your question about Kraken data" })

The gateway picks the right tool and fills the arguments automatically.

More

License

MIT

Related MCP Connectors

  • Hosted MCP server for live public-data APIs and Skills for AI agents.

    https://mcp.unifapi.com
  • Trading MCP server for AI agents, with live market data, account reads and controlled execution.

    https://mcp.fensory.com/mcp
  • Your agent needs crypto prices it can rely on — spot, ranked market tables, history, OHLC, per-venue tickers, and what is trending right now. **What you can ask for** • "What is the price of these 20 tokens in USD and EUR right now?" • "Give me the top 100 by market cap with 24h and 7d change." • "Chart this coin's price over the last year, hourly." • "Where does this token trade, and at what spread per venue?" • "What is trending on CoinGecko today?" **How to use it** Point any MCP client at https://mcp.aisa.one/crypto-market-data/mcp and sign in with OAuth — there is no key to create or paste. 21 CoinGecko tools: simple price and token price by contract, supported currencies, coin list and detail, ranked markets, history, market charts and ranges, OHLC, per-coin tickers, categories, exchanges and their tickers, token data and charts, and trending. **It is also a door to the rest** The same login reaches 26 sources and 580+ operations. Price the token here, then ask the same agent what X is posting about it — without adding a second server. **What it costs** Finding and inspecting an operation is free. Running one is billed per call at API prices, with no seat and no monthly minimum, and every call takes max_price_usd so an agent cannot overspend by accident. **Where else it reaches** https://mcp.aisa.one/finance/mcp for equities, crypto and prediction markets in one place.

  • MCP server for OpenMM — exposes market data, account, trading, and strategy tools to AI agents

    https://mcp.openmm.io/mcp

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