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The Bitget MCP server costs 3,939 tokens before the first call.

Connect Bitget and its 19 tool definitions are loaded into the model's context on every request — 2.0% of a 200k window spent before your agent does anything.

QUICK ANSWER The Bitget MCP server's tool definitions consume 3,939 tokens — 2.1× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 19 tools · 3,939 tokens · 2.0% of 200k · 0.4% 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 2.0%
1M WINDOW 0.4%

Corpus context: Bitget ranks #1157 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 3,939 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 207 tokens per tool.

ToolCategoryTokens% of server
backtest Execute 412 10.5%
cross_asset Read 314 8.0%
rates_yields Write 300 7.6%
macro_indicators Write 272 6.9%
crypto_market Read 260 6.6%
cn_market Read 214 5.4%
derivatives_sentiment Read 207 5.3%
global_data Read 202 5.1%
technical_analysis Read 201 5.1%
social_trending Read 195 5.0%
crypto_derivatives Read 191 4.8%
dex_market Read 177 4.5%
global_assets Read 177 4.5%
defi_analytics Read 157 4.0%
news_feed Read 151 3.8%
tradfi_news Read 148 3.8%
sentiment_index Read 134 3.4%
crypto_price Read 126 3.2%
network_status Read 101 2.6%

Most agents use a handful of these tools. They pay for all 19.

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 (207 tokens each).

Grant scopeDefinition costReduction
All 19 tools (no gateway) 3,939 tokens
3 granted tools ~622 tokens −84%
5 granted tools ~1,037 tokens −74%
10 granted tools ~2,073 tokens −47%

Bitget token-cost questions.

How many tokens does the Bitget MCP server use?+

Its 19 tool definitions total 3,939 tokens — 2.0% 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 Bitget 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 Bitget's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Bitget 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 622 tokens, a 84% 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 19 catalogued Bitget tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Bitget 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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