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The Gopeak MCP server costs 5,873 tokens before the first call.

Connect Gopeak and its 33 tool definitions are loaded into the model's context on every request — 2.9% of a 200k window spent before your agent does anything.

QUICK ANSWER The Gopeak MCP server's tool definitions consume 5,873 tokens — 3.1× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 33 tools · 5,873 tokens · 2.9% 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 2.9%
1M WINDOW 0.6%

Corpus context: Gopeak ranks #970 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 5,873 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 178 tokens per tool.

ToolCategoryTokens% of server
script-modify Write 442 7.5%
scene-node-add Write 404 6.9%
signal-connect Write 306 5.2%
tool-groups Destructive 304 5.2%
scene-node-set Write 302 5.1%
script-create Write 291 5.0%
project-search Read 224 3.8%
tool-catalog Read 216 3.7%
class-query Read 210 3.6%
scene-create Write 202 3.4%
scene-node-delete Destructive 194 3.3%
scene-node-properties Read 194 3.3%
scene-nodes Read 193 3.3%
export-run Write 181 3.1%
resource-dependencies Read 171 2.9%
scene-save Write 165 2.8%
class-info Read 164 2.8%
script-info Read 157 2.7%
visualizer-map Execute 147 2.5%
project-setting-set Write 143 2.4%
editor-run Execute 141 2.4%
project-list Read 130 2.2%
project-setting-get Read 130 2.2%
export-presets Write 119 2.0%
editor-launch Execute 107 1.8%
project-info Read 102 1.7%
editor-version Read 97 1.7%
lsp-diagnostics Read 89 1.5%
runtime-status Read 86 1.5%
editor-debug-output Read 85 1.4%
editor-stop Execute 76 1.3%
editor-status Read 59 1.0%
dap-output Read 42 0.7%

Most agents use a handful of these tools. They pay for all 33.

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 (178 tokens each).

Grant scopeDefinition costReduction
All 33 tools (no gateway) 5,873 tokens
3 granted tools ~534 tokens −91%
5 granted tools ~890 tokens −85%
10 granted tools ~1,780 tokens −70%

Gopeak token-cost questions.

How many tokens does the Gopeak MCP server use?+

Its 33 tool definitions total 5,873 tokens — 2.9% 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 Gopeak 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 Gopeak's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Gopeak 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 534 tokens, a 91% 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 33 catalogued Gopeak tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Gopeak 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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