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The Compeller MCP server costs 3,474 tokens before the first call.

Connect Compeller and its 30 tool definitions are loaded into the model's context on every request — 1.7% of a 200k window spent before your agent does anything.

QUICK ANSWER The Compeller MCP server's tool definitions consume 3,474 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 30 tools · 3,474 tokens · 1.7% 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 1.7%
1M WINDOW 0.3%

Corpus context: Compeller ranks #1231 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 3,474 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 116 tokens per tool.

ToolCategoryTokens% of server
create_compel Write 370 10.7%
create_compel_from_music Write 359 10.3%
launch_lighting_cue Execute 264 7.6%
register_webhook Write 237 6.8%
update_webhook Write 205 5.9%
report_lighting_cue Read 166 4.8%
ack_lighting_cue Read 148 4.3%
test_webhook_delivery Read 147 4.2%
set_lighting_cue_variables Write 116 3.3%
cancel_compel Destructive 104 3.0%
upload_media Write 98 2.8%
search_music Read 96 2.8%
rotate_webhook_secret Write 96 2.8%
list_lighting_effects Read 91 2.6%
search_media Read 89 2.6%
list_lighting_cues Read 88 2.5%
get_lighting_cue Read 76 2.2%
stop_lighting_cue Execute 75 2.2%
get_account_credits Read 71 2.0%
search_compels Read 71 2.0%
list_compels Read 70 2.0%
start_render Execute 65 1.9%
delete_webhook Destructive 64 1.8%
get_compel Read 58 1.7%
list_renderings Read 55 1.6%
get_rendering Read 50 1.4%
list_webhooks Read 42 1.2%
get_capabilities Read 37 1.1%
get_pricing Read 33 0.9%
list_styles Read 33 0.9%

Most agents use a handful of these tools. They pay for all 30.

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 (116 tokens each).

Grant scopeDefinition costReduction
All 30 tools (no gateway) 3,474 tokens
3 granted tools ~347 tokens −90%
5 granted tools ~579 tokens −83%
10 granted tools ~1,158 tokens −67%

Compeller token-cost questions.

How many tokens does the Compeller MCP server use?+

Its 30 tool definitions total 3,474 tokens — 1.7% 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 Compeller 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 Compeller's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Compeller 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 347 tokens, a 90% 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 30 catalogued Compeller tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Compeller 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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