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The Flashalpha MCP server costs 5,591 tokens before the first call.

Connect Flashalpha and its 40 tool definitions are loaded into the model's context on every request — 2.8% of a 200k window spent before your agent does anything.

QUICK ANSWER The Flashalpha MCP server's tool definitions consume 5,591 tokens — 2.9× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 40 tools · 5,591 tokens · 2.8% of 200k · 0.6% 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 2.8%
1M WINDOW 0.6%

Corpus context: Flashalpha ranks #987 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 5,591 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 140 tokens per tool.

ToolCategoryTokens% of server
calculate_kelly Read 221 4.0%
get_historical_option_quote Read 218 3.9%
calculate_greeks Read 192 3.4%
get_gex Read 192 3.4%
get_option_quote Read 187 3.3%
get_historical_vrp Read 168 3.0%
get_historical_advanced_volatility Read 164 2.9%
solve_iv Read 163 2.9%
get_historical_gex Read 161 2.9%
get_vrp_history Read 151 2.7%
get_historical_exposure_summary Read 149 2.7%
get_historical_zero_dte Read 149 2.7%
get_zero_dte Read 149 2.7%
get_historical_levels Read 146 2.6%
get_historical_stock_summary Read 143 2.6%
get_historical_volatility Read 143 2.6%
get_historical_narrative Read 141 2.5%
get_historical_surface Read 139 2.5%
get_historical_max_pain Read 137 2.5%
get_historical_coverage Read 136 2.4%
get_max_pain Read 136 2.4%
get_stock_summary Read 136 2.4%
get_historical_vex Read 133 2.4%
get_historical_chex Read 132 2.4%
get_historical_dex Read 131 2.3%
get_chex Read 130 2.3%
get_volatility Read 130 2.3%
get_historical_stock_quote Read 129 2.3%
get_advanced_volatility Read 125 2.2%
get_dex Read 123 2.2%
get_vex Read 123 2.2%
get_exposure_summary Read 117 2.1%
get_vrp Read 113 2.0%
get_levels Read 112 2.0%
get_surface Read 112 2.0%
get_stock_quote Read 110 2.0%
get_narrative Read 106 1.9%
get_option_chain Read 93 1.7%
get_account Read 77 1.4%
get_tickers Read 74 1.3%

Most agents use a handful of these tools. They pay for all 40.

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 (140 tokens each).

Grant scopeDefinition costReduction
All 40 tools (no gateway) 5,591 tokens
3 granted tools ~419 tokens −93%
5 granted tools ~699 tokens −88%
10 granted tools ~1,398 tokens −75%

Flashalpha token-cost questions.

How many tokens does the Flashalpha MCP server use?+

Its 40 tool definitions total 5,591 tokens — 2.8% 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 Flashalpha 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 Flashalpha's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Flashalpha 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 419 tokens, a 93% 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 40 catalogued Flashalpha tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Flashalpha 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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