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The Content Genie MCP server costs 2,999 tokens before the first call.

Connect Content Genie and its 17 tool definitions are loaded into the model's context on every request — 1.5% of a 200k window spent before your agent does anything.

QUICK ANSWER The Content Genie MCP server's tool definitions consume 2,999 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 17 tools · 2,999 tokens · 1.5% of 200k · 0.3% 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 1.5%
1M WINDOW 0.3%

Corpus context: Content Genie ranks #1306 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 2,999 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 176 tokens per tool.

ToolCategoryTokens% of server
create_content_calendar Write 250 8.3%
generate_content_ideas Write 247 8.2%
optimize_title_hashtags Read 209 7.0%
generate_script_outline Write 195 6.5%
get_korean_trends Read 188 6.3%
generate_hashtag_strategy Write 187 6.2%
predict_content_performance Execute 184 6.1%
predict_viral_score Read 178 5.9%
analyze_seo_keywords Read 175 5.8%
analyze_thumbnail Read 173 5.8%
analyze_influencer_collab Read 169 5.6%
repurpose_content Read 165 5.5%
benchmark_content_performance Execute 149 5.0%
analyze_news_trends Read 141 4.7%
generate_ab_test_variants Write 137 4.6%
analyze_competitor_content Read 135 4.5%
get_seasonal_content_guide Read 117 3.9%

Most agents use a handful of these tools. They pay for all 17.

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 (176 tokens each).

Grant scopeDefinition costReduction
All 17 tools (no gateway) 2,999 tokens
3 granted tools ~529 tokens −82%
5 granted tools ~882 tokens −71%
10 granted tools ~1,764 tokens −41%

Content Genie token-cost questions.

How many tokens does the Content Genie MCP server use?+

Its 17 tool definitions total 2,999 tokens — 1.5% 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 Content Genie 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 Content Genie's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Content Genie 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 529 tokens, a 82% 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 17 catalogued Content Genie tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Content Genie 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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