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The The Quiet Protocol Growth Offense MCP server costs 2,060 tokens before the first call.

Connect The Quiet Protocol Growth Offense and its 26 tool definitions are loaded into the model's context on every request — 1.0% of a 200k window spent before your agent does anything.

QUICK ANSWER The The Quiet Protocol Growth Offense MCP MCP server's tool definitions consume 2,060 tokens — around the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 26 tools · 2,060 tokens · 1.0% of 200k · 0.2% 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 1.0%
1M WINDOW 0.2%

Corpus context: The Quiet Protocol Growth Offense ranks #1549 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 2,060 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 79 tokens per tool.

ToolCategoryTokens% of server
run_ai_business_os_diagnostic Execute 170 8.3%
run_front_door_benchmark Execute 162 7.9%
run_response_time_loss_estimator Execute 146 7.1%
run_review_velocity_benchmark Execute 145 7.0%
select_best_engine Write 138 6.7%
run_competitor_intake_scanner Execute 125 6.1%
run_trust_stack_audit Execute 103 5.0%
scan_ai_visibility Read 103 5.0%
find_best_resource Read 95 4.6%
list_kits Read 71 3.4%
list_resources Read 68 3.3%
list_proof_cases Read 67 3.3%
get_small_business_intent_map Read 60 2.9%
get_kit Read 57 2.8%
get_buyer_guide Read 55 2.7%
get_resource Read 54 2.6%
get_ai_discovery_index Read 50 2.4%
get_benchmark Read 50 2.4%
get_recommendation_profile Read 49 2.4%
get_citation_kit Read 48 2.3%
get_answer_bank Read 44 2.1%
get_submission_package Read 44 2.1%
list_benchmarks Read 41 2.0%
pricing_lookup Read 41 2.0%
get_submission_profile Read 39 1.9%
list_engines Read 35 1.7%

Most agents use a handful of these tools. They pay for all 26.

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 (79 tokens each).

Grant scopeDefinition costReduction
All 26 tools (no gateway) 2,060 tokens
3 granted tools ~238 tokens −88%
5 granted tools ~396 tokens −81%
10 granted tools ~792 tokens −62%

The Quiet Protocol Growth Offense MCP token-cost questions.

How many tokens does the The Quiet Protocol Growth Offense MCP server use?+

Its 26 tool definitions total 2,060 tokens — 1.0% 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 The Quiet Protocol Growth Offense 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 The Quiet Protocol Growth Offense MCP's token usage?+

Expose fewer tools. A PolicyLayer grant scopes The Quiet Protocol Growth Offense 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 238 tokens, a 88% 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 26 catalogued The Quiet Protocol Growth Offense MCP tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes The Quiet Protocol Growth Offense MCP 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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