Home / Token cost / Inferventis — Financial Data, News & Web MCP

The Inferventis — Financial Data, News & Web MCP server costs 6,593 tokens before the first call.

Connect Inferventis — Financial Data, News & Web and its 20 tool definitions are loaded into the model's context on every request — 3.3% of a 200k window spent before your agent does anything.

QUICK ANSWER The Inferventis — Financial Data, News & Web MCP MCP server's tool definitions consume 6,593 tokens — 3.5× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 20 tools · 6,593 tokens · 3.3% of 200k · 0.7% 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 3.3%
1M WINDOW 0.7%

Corpus context: Inferventis — Financial Data, News & Web ranks #924 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 6,593 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 330 tokens per tool.

ToolCategoryTokens% of server
financial_calculator Read 615 9.3%
crypto_price Read 399 6.1%
financial_calculator_lite Read 389 5.9%
web_news_headlines Execute 388 5.9%
web_url_reader Execute 372 5.6%
currency_convert_lite Write 358 5.4%
currency_convert Write 344 5.2%
timezone_convert Write 337 5.1%
finnhub_stock_quote Read 319 4.8%
stripe_payments Read 312 4.7%
crypto_fx_rates Read 311 4.7%
platform_tool_finder Read 304 4.6%
currency_fx_lite Read 303 4.6%
open_banking_transactions Write 302 4.6%
currency_rates Read 289 4.4%
crypto_price_lite Read 286 4.3%
currency_convert_open Write 264 4.0%
stripe_payment_records Read 255 3.9%
bank_accounts Read 225 3.4%
stock_price_lite Read 221 3.4%

Most agents use a handful of these tools. They pay for all 20.

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 (330 tokens each).

Grant scopeDefinition costReduction
All 20 tools (no gateway) 6,593 tokens
3 granted tools ~989 tokens −85%
5 granted tools ~1,648 tokens −75%
10 granted tools ~3,297 tokens −50%

Inferventis — Financial Data, News & Web MCP token-cost questions.

How many tokens does the Inferventis — Financial Data, News & Web MCP server use?+

Its 20 tool definitions total 6,593 tokens — 3.3% 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 Inferventis — Financial Data, News & Web MCP 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 Inferventis — Financial Data, News & Web MCP's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Inferventis — Financial Data, News & Web MCP 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 989 tokens, a 85% 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 20 catalogued Inferventis — Financial Data, News & Web MCP tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Inferventis — Financial Data, News & Web MCP to the tools you actually allow. Ungranted definitions never load, and every call that does run is checked against policy first.

Free to start. No card required.

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

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