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The 21e14 MCP server costs 8,996 tokens before the first call.

Connect 21e14 and its 48 tool definitions are loaded into the model's context on every request — 4.5% of a 200k window spent before your agent does anything.

QUICK ANSWER The 21e14 MCP server's tool definitions consume 8,996 tokens — 4.7× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 48 tools · 8,996 tokens · 4.5% of 200k · 0.9% 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 4.5%
1M WINDOW 0.9%

Corpus context: 21e14 ranks #200 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 8,996 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 187 tokens per tool.

ToolCategoryTokens% of server
compose_fairminter Write 814 9.0%
compose_order Write 531 5.9%
compose_issuance Write 399 4.4%
compose_dispenser Write 375 4.2%
compose_xcp420_fairminter Execute 327 3.6%
compose_send Write 314 3.5%
compose_mpma Write 285 3.2%
compose_broadcast Read 281 3.1%
compose_attach Write 237 2.6%
compose_dividend Read 233 2.6%
compose_sweep Read 222 2.5%
compose_destroy Destructive 217 2.4%
compose_dispense Read 212 2.4%
compose_fairmint Read 208 2.3%
get_orders_by_pair Read 204 2.3%
api_request Read 194 2.2%
get_dispensers_by_asset Read 181 2.0%
compose_btcpay Read 177 2.0%
get_address_dispensers Read 173 1.9%
compose_cancel Destructive 169 1.9%
get_asset_orders Read 166 1.8%
get_address_orders Read 163 1.8%
get_order_matches Read 161 1.8%
get_dispensers Read 160 1.8%
get_orders Read 152 1.7%
compose_movetoutxo Read 149 1.7%
compose_detach Read 147 1.6%
get_dispenses Read 141 1.6%
get_asset_balances Read 139 1.5%
get_sends Read 139 1.5%
get_address_transactions Read 138 1.5%
get_balances Read 138 1.5%
get_issuances Read 138 1.5%
get_owned_assets Read 138 1.5%
get_dividends Read 136 1.5%
get_assets Read 131 1.5%
unpack_transaction Read 120 1.3%
get_fee_estimate Read 117 1.3%
get_asset_info Read 86 1.0%
get_balance Read 86 1.0%
get_utxo_balances Read 74 0.8%
decode_transaction Read 71 0.8%
broadcast_transaction Read 67 0.7%
get_order Read 65 0.7%
get_dispenser Read 63 0.7%
get_transaction Read 63 0.7%
get_server_info Read 48 0.5%
get_latest_block Read 47 0.5%

Most agents use a handful of these tools. They pay for all 48.

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 (187 tokens each).

Grant scopeDefinition costReduction
All 48 tools (no gateway) 8,996 tokens
3 granted tools ~562 tokens −94%
5 granted tools ~937 tokens −90%
10 granted tools ~1,874 tokens −79%

21e14 token-cost questions.

How many tokens does the 21e14 MCP server use?+

Its 48 tool definitions total 8,996 tokens — 4.5% 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 21e14 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 21e14's token usage?+

Expose fewer tools. A PolicyLayer grant scopes 21e14 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 562 tokens, a 94% 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 48 catalogued 21e14 tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes 21e14 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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