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The identifAI MCP Server MCP server costs 5,527 tokens before the first call.

Connect identifAI MCP Server and its 19 tool definitions are loaded into the model's context on every request — 2.8% of a 200k window spent before your agent does anything.

QUICK ANSWER The identifAI MCP Server MCP server's tool definitions consume 5,527 tokens — 2.9× 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 · 5,527 tokens · 2.8% of 200k · 0.6% 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 2.8%
1M WINDOW 0.6%

Corpus context: identifAI MCP Server ranks #990 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 5,527 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 291 tokens per tool.

ToolCategoryTokens% of server
classify_video Write 640 11.6%
classify_image Write 505 9.1%
classify_video_url Write 467 8.4%
submit_tampering_tickets Write 449 8.1%
classify_audio Write 419 7.6%
classify_image_url Write 379 6.9%
classify_audio_url Write 281 5.1%
override_image_classification Read 219 4.0%
get_tampering_batch_results Read 218 3.9%
override_audio_classification Read 214 3.9%
override_video_classification Read 213 3.9%
get_all_image_classifications Read 201 3.6%
get_classification_heatmap Read 197 3.6%
get_all_audio_classifications Read 196 3.5%
get_all_video_classifications Read 195 3.5%
get_image_classification Read 195 3.5%
get_video_classification Read 187 3.4%
get_audio_classification Read 182 3.3%
get_user_credits Read 170 3.1%

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 (291 tokens each).

Grant scopeDefinition costReduction
All 19 tools (no gateway) 5,527 tokens
3 granted tools ~873 tokens −84%
5 granted tools ~1,454 tokens −74%
10 granted tools ~2,909 tokens −47%

identifAI MCP Server token-cost questions.

How many tokens does the identifAI MCP Server MCP server use?+

Its 19 tool definitions total 5,527 tokens — 2.8% 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 identifAI MCP Server 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 identifAI MCP Server's token usage?+

Expose fewer tools. A PolicyLayer grant scopes identifAI MCP Server 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 873 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 identifAI MCP Server tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes identifAI MCP Server 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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