Compatible with every major AI agent and IDE
What is the Alpaca Trading MCP Server?
Connect your Alpaca Markets account to your AI agent to automate trading strategies and monitor market movements through natural language.
What you can do
- Order Execution — Place market, limit, or stop orders for stocks and crypto assets using
create_orderand manage them withdelete_all_orders. - Market Intelligence — Retrieve historical bars, latest quotes, and trade data for stocks and crypto using tools like
get_stocks_barsandget_latest_stocks_quotes. - Order Tracking — Query your order history with advanced filters like status, symbols, and timeframes via
get_orders. - Account Management — Check your broker account details and update configurations such as fractional trading or shorting permissions with
update_account_configs. - Asset Discovery — List available assets and their trading status directly from the Alpaca exchange.
How it works
- Subscribe to this server
- Enter your Alpaca API Key ID and Secret Key
- Start trading and analyzing markets from Claude, Cursor, or any MCP-compatible client
Your AI acts as a sophisticated trading terminal, capable of executing complex orders and fetching deep market analytics without you ever leaving your workflow.
Who is this for?
- Quant Traders — automate the execution of strategies and fetch historical data for backtesting analysis.
- Retail Investors — check portfolio status and place quick trades using simple conversational commands.
- Developers — integrate financial market data and trading capabilities directly into coding environments.
Built-in capabilities (14)
Requires contact, identity, disclosures, and agreements objects. Create a new broker account
Create a new trading order
Returns a 207 Multi-Status. Delete all open orders
List all tradable assets
Get broker account by ID
Get historical bars for crypto
Get latest quotes for stocks
Get latest trades for stocks
Get all orders
Get historical bars for stocks
Get historical quotes for stocks
Get historical trades for stocks
Issue OAuth2 tokens for machine-to-machine authentication
Update account configurations
Why Vercel AI SDK?
The Vercel AI SDK gives every Alpaca Trading tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 14 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
- —
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
- —
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Alpaca Trading integration everywhere
- —
Built-in streaming UI primitives let you display Alpaca Trading tool results progressively in React, Svelte, or Vue components
- —
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Alpaca Trading in Vercel AI SDK
Alpaca Trading and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Alpaca Trading to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Alpaca Trading in Vercel AI SDK
The Alpaca Trading 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. All 14 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Alpaca Trading for Vercel AI SDK
Every tool call from Vercel AI SDK to the Alpaca Trading MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I place a trade for a specific dollar amount instead of shares?
Yes, you can use the notional parameter in the create_order tool to specify the dollar amount you wish to trade for fractional-enabled assets.
How do I see only my open orders for a specific stock?
Use the get_orders tool and set the status to 'open' and provide the ticker in the symbols parameter.
Can I cancel all my pending orders at once if the market moves against me?
Absolutely. Use the delete_all_orders tool to instantly cancel all open orders in your account.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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