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The Alpaca Trading Integration MCP server costs 1,905 tokens before the first call.

Connect Alpaca Trading Integration and its 35 tool definitions are loaded into the model's context on every request — 1.0% of a 200k window spent before your agent does anything.

QUICK ANSWER The Alpaca Trading Integration MCP server's tool definitions consume 1,905 tokens — around the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 35 tools · 1,905 tokens · 1.0% of 200k · 0.2% of 1M Method →

What that buys before your agent starts working.

Tool definitions are overhead: they occupy context on every request and compete with your code, documents and conversation history for the same window.

200K WINDOW 1.0%
1M WINDOW 0.2%

Corpus context: Alpaca Trading Integration ranks #1608 of 3,213 measured MCP servers by definition cost. The median is 1,905 tokens, p90 is 7,952, and the heaviest (Fusionauth) is 183,337 — 92% of a 200k window on its own.

Where the 1,905 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 54 tokens per tool.

ToolCategoryTokens% of server
alpaca-getPortfolioHistory Read 119 6.2%
alpaca-createOrder Write 119 6.2%
alpaca-getOptionsContracts Read 111 5.8%
alpaca-getOrders Read 96 5.0%
alpaca-getCorporateActions Read 90 4.7%
alpaca-updateWatchlist Write 76 4.0%
alpaca-getStocksTradesLatest Read 74 3.9%
alpaca-replaceOrder Write 74 3.9%
alpaca-getStocksCorporateActions Read 71 3.7%
alpaca-getStocksMarketMovers Read 70 3.7%
alpaca-getStocksMostActives Read 70 3.7%
alpaca-getStocksConditions Read 69 3.6%
alpaca-getNews Read 58 3.0%
alpaca-createWatchlist Write 57 3.0%
alpaca-getStocksQuotes Read 55 2.9%
alpaca-getStocksTrades Read 55 2.9%
alpaca-exerciseOption Read 51 2.7%
alpaca-getStocksQuotesLatest Read 49 2.6%
alpaca-getPosition Read 47 2.5%
alpaca-closePosition Write 47 2.5%
alpaca-getActivity Read 43 2.3%
alpaca-cancelOrder Destructive 39 2.0%
alpaca-getWatchlist Read 39 2.0%
alpaca-deleteWatchlist Destructive 38 2.0%
alpaca-getOptionsContract Read 37 1.9%
alpaca-getOrder Read 36 1.9%
alpaca-getCorporateAction Read 33 1.7%
alpaca-getStocksSnapshots Read 33 1.7%
get-alpaca-account Read 25 1.3%
alpaca-getStocksExchangeCodes Read 22 1.2%
alpaca-cancelOrders Destructive 21 1.1%
alpaca-getWatchlists Read 21 1.1%
alpaca-getActivities Read 20 1.0%
alpaca-getPositions Read 20 1.0%
alpaca-closePositions Write 20 1.0%

Most agents use a handful of these tools. They pay for all 35.

A PolicyLayer grant exposes only the tools you allow — ungranted definitions are filtered out of the tool list, so they never enter the context window. Estimates below assume typical-weight tools (54 tokens each).

Grant scopeDefinition costReduction
All 35 tools (no gateway) 1,905 tokens
3 granted tools ~163 tokens −91%
5 granted tools ~272 tokens −86%
10 granted tools ~544 tokens −71%

Alpaca Trading Integration token-cost questions.

How many tokens does the Alpaca Trading Integration MCP server use?+

Its 35 tool definitions total 1,905 tokens — 1.0% of a 200k context window — measured with tiktoken o200k_base over the serialised tools/list payload. Exact counts vary slightly by client and model.

Why does Alpaca Trading Integration consume tokens before I send a message?+

MCP clients load every connected server's tool definitions — name, description, and input schema — into the model's context so it knows what it can call. That payload is charged against your context window on every request, whether or not a tool is used.

How do I reduce Alpaca Trading Integration's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Alpaca Trading Integration to only the tools you allow — ungranted definitions are filtered out of the tool list, so they never enter the context window. A grant of 3 typical tools costs roughly 163 tokens, a 91% reduction.

Does deferred tool loading fix this?+

Partially, in some clients. Claude Code defers MCP tool schemas behind a tool-search step by default, and VS Code has experimental grouping — but you still pay tokens per search and reload, and Cursor, Windsurf and Gemini CLI load definitions upfront. Reducing the exposed tool set cuts the cost in every client.

How these numbers were measured.

01
Serialisation

Each tool is serialised as a tools/list entry — name, description, input schema — from the schemas in the PolicyLayer scan database. Clients differ slightly in framing, so treat counts as close estimates.

02
Tokeniser

tiktoken o200k_base (GPT-4o/o-series). Anthropic's current tokeniser isn't published, so Claude's exact counts will differ; for English text and JSON schemas the totals are close enough to treat these as estimates.

03
Deferred loading

Some clients now defer schema loading (Claude Code's tool search; VS Code experimental grouping). You still pay per search and reload — and Cursor, Windsurf and Gemini CLI load everything upfront.

Computed 07-06-2026 from the PolicyLayer scan database over all 35 catalogued Alpaca Trading Integration tools. Counts refresh with every site build.

Expose only the tools you use — the rest never enter your context.

A PolicyLayer grant scopes Alpaca Trading Integration to the tools you actually allow. Ungranted definitions never load, and every call that does run is checked against policy first.

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4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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