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Bitso Exchange MCP. Automate crypto trades and manage account state.

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Just plug in your AI agents and start using Vinkius.

Bitso Exchange MCP Server connects your AI client directly to Mexico's crypto exchange backend. You can pull live market book spreads for MXN, ARS, COP, and BRL pairs, check current account balances, and execute Limit or Market orders without opening a browser.

Use it to programmatically manage your portfolio and track raw ledger flows, all from your chat interface.

What your AI agents can do

Cancel order

Cancels a live order that hasn't been filled yet.

Create order

Submits a new trading order to the exchange.

Get account status

Retrieves the regulatory account status and associated limits.

+ 9 more capabilities included
View Live Market Books

List available market books (e.g., BTC/MXN, ETH/BRL) to see the active buy/sell spreads on the exchange.

Get Account Status

Retrieve regulatory account status limits and verify your account capacity before making trades.

Execute New Orders

Submit new trading orders (Limit or Market) directly to the exchange, bypassing the web interface.

Check Balances and Ledgers

List current trading account balances and examine raw ledger flows to track every deposit and withdrawal.

Track Open Positions

List all active, unfulfilled orders and review historical executed trades for deep analysis.

Manage Withdrawals

Monitor executed funds that have left the account, tracking external withdrawals.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
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AI Agent

Bitso Exchange MCP Server: 12 Tools for Trading & Finance

Use these tools to interact with Bitso's live market data and account systems, allowing your AI client to manage complex crypto workflows.

cancel019d841e

cancel order

Cancels a live order that hasn't been filled yet.

create019d841e

create order

Submits a new trading order to the exchange.

get019d841e

get account status

Retrieves the regulatory account status and associated limits.

get019d841e

get funding destination

Reveals the specific crypto address needed to deposit funds into the account.

get019d841e

get ticker

Fetches the current trading ticker information for a given pair.

list019d841e

list available books

Lists the active market books for specific trading pairs on the exchange.

list019d841e

list balances

Gets a comprehensive list of all assets held in the trading account.

list019d841e

list ledger

Examines the raw, detailed flow of every transaction recorded in the account ledger.

list019d841e

list open orders

Lists all active orders that are currently pending on the exchange.

list019d841e

list order trades

Extracts records of trades that were executed against a specific order ID.

list019d841e

list trades

Reviews a history of all executed trades that have occurred.

list019d841e

list withdrawals

Monitors and reports on executed funds withdrawn externally from the account.

Choose How to Get Started

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  • Use this MCP plus 4,700+ others, all in one place
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  • Works with Claude, ChatGPT, Cursor, and more
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What you can do with this MCP connector

This MCP Server connects your AI client straight to the Bitso exchange backend. You can programmatically manage your portfolio and track raw ledger flows without ever opening a browser. You've got tools here to check everything and execute trades directly from your chat interface.

View Live Market Books: You can pull the active market books for specific pairs like BTC/MXN or ETH/BRL, so you can see the current buy and sell spreads before you place a trade. You can also check the current trading ticker for any given pair using get_ticker.

Account Management: Use list_balances to get a comprehensive rundown of every asset you hold in the trading account. You can also check your regulatory account status and associated limits with get_account_status, and find the exact crypto address you need for deposits using get_funding_destination. You can see every asset you own by calling list_balances.

Trade Execution & Monitoring: You can submit new trading orders—Limit or Market—directly to the exchange using create_order. If you gotta pull back, you can cancel any live order that hasn't been filled yet with cancel_order. You can review every active order that's still pending with list_open_orders, and if a trade happens, you can look up records of trades executed against a specific order ID using list_order_trades, or review all executed trades in history by running list_trades.

Ledger and Withdrawal Tracking: You can examine the raw, detailed flow of every transaction recorded in the account ledger by running list_ledger. You can also monitor funds that left the account by checking executed withdrawals with list_withdrawals.

Advanced Analysis: You can list all available market books using list_available_books, and you can pull a complete history of every withdrawal with list_withdrawals.

How Bitso Exchange MCP Works

  1. 1 Start by requesting the account status using get_account_status to confirm available capital and limits.
  2. 2 Next, use list_open_orders to see if any pending orders exist, ensuring you don't over-commit capital.
  3. 3 Finally, use create_order to submit your new trade, knowing the current state of your account and open positions.

The bottom line is that you execute complex, multi-step financial actions by letting your AI client manage the sequence of API calls for you.

Who Is Bitso Exchange MCP For?

This is for quantitative traders and Web3 architects who need to treat their crypto portfolio like a piece of software—something that can be scripted, monitored, and controlled programmatically. If your workflow involves staring at dashboards or clicking through web apps, you need this. It's built for people who need speed and data integrity over a nice user interface.

Quantitative Trader

Uses the server to programmatically submit create_order commands and monitor real-time spreads using get_ticker to test complex trading strategies.

Web3 Architect

Monitors funding destinations using get_funding_destination and checks account capacity with list_balances to automate system tests for new on/off ramps.

FinTech Developer

Integrates list_ledger and list_withdrawals into a pipeline to build compliance monitoring tools that track every financial movement.

What Changes When You Connect

  • Execute trades with create_order and cancel_order. You bypass the app's UI and send orders straight to the exchange backend, giving you full control over execution logic.
  • Stop guessing your capital. list_balances shows you every asset you hold, and get_account_status confirms your regulatory limits before you try to place a large trade.
  • Deep dive into capital movement. Instead of just seeing a balance, you can use list_ledger to review the raw, step-by-step flow of every single transaction that touched your account.
  • Monitor your risk exposure. Use list_open_orders to see exactly what's pending, and list_order_trades to verify what executed against those specific orders.
  • Stay ahead of the market. list_available_books and get_ticker let you check spreads across multiple fiat/crypto pairs (MXN, ARS, BRL) before your agent decides on a trade.
  • Audit your funds. list_withdrawals gives you a clean record of every time money left the exchange, which is critical for compliance checks.

Real-World Use Cases

01

Need to Hedge Against Fiat Volatility

A quantitative trader notices the USD-BRL spread is widening. They ask their agent to check the get_ticker for the relevant pair, then use list_available_books to confirm the spread depth. Finally, the agent runs create_order to execute a limit buy, ensuring the trade hits the right price point.

02

Onboarding a New System

A Web3 architect needs to confirm an external funding source. They first call get_funding_destination to get the required crypto address. Then, they use get_account_status to ensure the account can handle the incoming volume, making the system integration safe.

03

Cleaning Up Pending Orders

The market drops unexpectedly, leaving several open, undesirable Maker orders. The user prompts the agent to run list_open_orders, sees the list, and then issues a command to cancel_order for the specific order IDs. This clears the risk instantly.

04

Auditing a Large Payment Run

A developer needs to prove that a large payment went out correctly. They run list_withdrawals to see the date and amount, and then use list_ledger to trace the specific debit entry that corresponds to the withdrawal ID, achieving full auditability.

The Tradeoffs

Checking only the balance

Running list_balances and assuming the money is available. This fails because the balance doesn't account for open orders or pending withdrawals.

Always check get_account_status first. Then, cross-reference the available funds by checking list_open_orders to account for potential future deductions. Only then should you call create_order.

Relying on the GUI for data

Manually refreshing the exchange dashboard to see if a trade went through. This is slow, unreliable, and doesn't give you the raw data needed for scripting.

Use list_trades to get a historical record of completed trades, or use list_order_trades if you need to confirm what happened against a specific order ID.

Executing without verifying funding

Telling the agent to buy a token without first confirming the correct deposit address. The transaction will fail because the wrong crypto address was used.

Start by calling get_funding_destination to get the required, current deposit address. This ensures the funds arrive where they need to go before you attempt any trade.

When It Fits, When It Doesn't

Use this server if your process involves checking state before action. Specifically, if you need to know what's pending (open orders via list_open_orders), what your limits are (get_account_status), and what the current market spread is (get_ticker). Don't use it if you just need a simple list of assets; list_balances works for that. However, if you are building a payment pipeline that requires a definitive record of money leaving the account, don't stop at list_withdrawals—you must check list_ledger to get the full audit trail. If you only need to see the biggest assets, list_balances is enough. If you need to execute, you need the full sequence: Status -> Open Orders -> Create Order.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Bitso Exchange. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

cancel_order create_order get_account_status get_funding_destination get_ticker list_available_books list_balances list_ledger list_open_orders list_order_trades list_trades list_withdrawals

Tracking crypto trades used to be a mess of tabs and manual checks.

You used to open the exchange website, click the 'Wallet' tab to see your balance, then navigate to 'Orders' to see what was pending, and finally open the 'Ledger' to find proof of the debit. You'd copy IDs, jump between tabs, and manually cross-reference every single movement just to confirm a single trade.

Now, you just tell your agent to look at the account. It runs `list_balances` and `list_open_orders` in the background, giving you a unified snapshot of everything. You get the full picture—the balance, the pending risk, and the raw data—in one simple output.

Use the Bitso Exchange MCP Server to manage your `create_order` commands.

Before, placing a trade meant navigating to the trading pair, selecting the order type (Limit/Market), inputting the price, and hitting 'Submit.' If the market moved while you were filling out the form, your order could expire or get rejected.

Now, your agent handles the whole process. You just tell it: 'Place a limit buy of 0.1 ETH at 1200 BRL.' The agent calls `create_order` directly to the backend, bypassing the UI entirely. You just get confirmation that the order is placed.

Common Questions About Bitso Exchange MCP

How do I check the current trading spread using the get_ticker tool? +

The get_ticker tool retrieves the live trading ticker information for the pair you specify. It shows the current last executed price, the 24-hour high, and the 24-hour low, which helps you assess the active spread.

What is the difference between list_trades and list_ledger? +

list_trades gives you a summary of executed trades (what happened). list_ledger gives you the raw, detailed flow of every debit and credit entry in the account, which is the ultimate source of truth for auditing.

Can I cancel an order after I placed it using cancel_order? +

Yes. If you realize an open order is no longer desirable, you can use list_open_orders to find the specific ID, and then cancel_order to drop it from the book immediately.

Do I need to use get_funding_destination before I can trade? +

It's best practice. Running get_funding_destination first gives you the current, correct crypto address needed to deposit funds, preventing failed deposits and allowing you to trade immediately after funding.

How do I see my available crypto funds? +

Call list_balances. This tool lists all assets held in the trading account, giving you a clear view of your current liquid capital across all crypto and fiat pools.

What tools do I use to list my active hanging orders using list_open_orders? +

The list_open_orders tool retrieves all unfulfilled orders tied to your account. This lets you see orders that haven't executed yet, helping you track your current exposure.

How can I review my account's full transaction history using list_ledger? +

The list_ledger tool provides a raw, granular view of every account flow. It shows the fundamental movements of funds, going beyond just executed trades.

What is the difference between list_balances and list_withdrawals? +

The list_balances tool shows your current available assets in the trading account. Conversely, list_withdrawals tracks funds that have already left the exchange and moved externally.

Can I trust adding my Secret HMAC trading key into the agent flow safely? +

Yes. We wrap Bitso API requirements inside protected sensitive: true attributes isolating them visibly. Best practice dictates creating a Key exclusively with Trading power turning OFF 'Withdrawals'.

Do I have to calculate the complicated Bitso signatures by hand before calling createOrder? +

Absolutely not! The magic of these servers is that the internal code natively binds your keys and calculates the digest. You just ask to 'Buy BTC'.

Are ledger pulls real-time? +

Yes. Every time you call a tool like get_ticker or get_order_book, the agent fetches the most current data directly from Bitso's production API endpoints.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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