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The Finimpulse MCP server costs 12,071 tokens before the first call.

Connect Finimpulse and its 27 tool definitions are loaded into the model's context on every request — 6.0% of a 200k window spent before your agent does anything.

QUICK ANSWER The Finimpulse MCP server's tool definitions consume 12,071 tokens — 6.3× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 27 tools · 12,071 tokens · 6.0% of 200k · 1.2% 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 6.0%
1M WINDOW 1.2%

Corpus context: Finimpulse ranks #133 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 12,071 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 447 tokens per tool.

ToolCategoryTokens% of server
get_search Read 891 7.4%
get_news Read 789 6.5%
get_statistics_risks Read 777 6.4%
get_holders_mutual_funds Read 747 6.2%
get_holdings_top_holdings Read 746 6.2%
get_holders_insiders_transactions Read 744 6.2%
get_holders_institutional Read 739 6.1%
get_holders_insiders Read 735 6.1%
get_analysis_earnings Read 732 6.1%
get_histories Read 652 5.4%
get_analysis_upgrades_downgrades Read 577 4.8%
get_options_chain Read 555 4.6%
get_analysis_recommendations Read 550 4.6%
get_analysis_analysts Read 497 4.1%
get_financials_general Read 313 2.6%
get_financials_valuation_measures Read 257 2.1%
get_financials_balance_sheet Read 246 2.0%
get_financials_income_statement Read 245 2.0%
get_financials_cash_flow Read 244 2.0%
get_options_contracts Read 160 1.3%
get_summary Read 150 1.2%
get_options_expirations Read 133 1.1%
get_statistics_general Read 125 1.0%
get_holders_general Read 124 1.0%
get_profile Read 117 1.0%
get_statistics_annual_returns Read 115 1.0%
get_holdings_general Read 111 0.9%

Most agents use a handful of these tools. They pay for all 27.

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 (447 tokens each).

Grant scopeDefinition costReduction
All 27 tools (no gateway) 12,071 tokens
3 granted tools ~1,341 tokens −89%
5 granted tools ~2,235 tokens −81%
10 granted tools ~4,471 tokens −63%

Finimpulse token-cost questions.

How many tokens does the Finimpulse MCP server use?+

Its 27 tool definitions total 12,071 tokens — 6.0% 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 Finimpulse 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 Finimpulse's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Finimpulse 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 1,341 tokens, a 89% 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 27 catalogued Finimpulse tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Finimpulse 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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