Home / Token cost / USDV Capital — Your Real Estate CFO

The USDV Capital — Your Real Estate CFO MCP server costs 6,295 tokens before the first call.

Connect USDV Capital — Your Real Estate CFO and its 23 tool definitions are loaded into the model's context on every request — 3.1% of a 200k window spent before your agent does anything.

QUICK ANSWER The USDV Capital — Your Real Estate CFO MCP server's tool definitions consume 6,295 tokens — 3.3× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 23 tools · 6,295 tokens · 3.1% 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 3.1%
1M WINDOW 0.6%

Corpus context: USDV Capital — Your Real Estate CFO ranks #947 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 6,295 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 274 tokens per tool.

ToolCategoryTokens% of server
calc-dscr Read 519 8.2%
calc-brrrr Read 496 7.9%
deal-analyze Read 490 7.8%
action-prequalify Read 485 7.7%
calc-rental_cashflow Read 467 7.4%
calc-flip_roi Read 465 7.4%
calc-construction Read 366 5.8%
calc-str_revenue Read 343 5.4%
action-consultation Read 329 5.2%
eligibility-check Read 304 4.8%
action-send_report Write 302 4.8%
calc-exchange_1031 Read 223 3.5%
markets-search Read 184 2.9%
markets-nearby Read 163 2.6%
markets-screener Read 163 2.6%
eligibility-products Write 143 2.3%
util-entity_structure Read 136 2.2%
markets-compare Execute 130 2.1%
util-insurance Read 128 2.0%
markets-stats Read 124 2.0%
util-property_tax Read 116 1.8%
util-rent_estimate Read 115 1.8%
util-neighborhood Read 104 1.7%

Most agents use a handful of these tools. They pay for all 23.

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 (274 tokens each).

Grant scopeDefinition costReduction
All 23 tools (no gateway) 6,295 tokens
3 granted tools ~821 tokens −87%
5 granted tools ~1,368 tokens −78%
10 granted tools ~2,737 tokens −57%

USDV Capital — Your Real Estate CFO token-cost questions.

How many tokens does the USDV Capital — Your Real Estate CFO MCP server use?+

Its 23 tool definitions total 6,295 tokens — 3.1% 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 USDV Capital — Your Real Estate CFO 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 USDV Capital — Your Real Estate CFO's token usage?+

Expose fewer tools. A PolicyLayer grant scopes USDV Capital — Your Real Estate CFO 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 821 tokens, a 87% 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 23 catalogued USDV Capital — Your Real Estate CFO tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes USDV Capital — Your Real Estate CFO 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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