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The Peaka MCP server costs 4,820 tokens before the first call.

Connect Peaka and its 26 tool definitions are loaded into the model's context on every request — 2.4% of a 200k window spent before your agent does anything.

QUICK ANSWER The Peaka MCP server's tool definitions consume 4,820 tokens — 2.5× 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 · 4,820 tokens · 2.4% of 200k · 0.5% 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 2.4%
1M WINDOW 0.5%

Corpus context: Peaka ranks #1044 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 4,820 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 185 tokens per tool.

ToolCategoryTokens% of server
peaka_create_cache_batch Write 334 6.9%
peaka_update_cache Write 295 6.1%
peaka_execute_sql_query Execute 289 6.0%
peaka_create_cache Write 280 5.8%
peaka_create_query Write 224 4.6%
peaka_update_query Write 208 4.3%
peaka_get_project_metadata Read 195 4.0%
peaka_get_connection_detail Read 186 3.9%
peaka_get_relations Read 186 3.9%
peaka_get_table_statistics Read 186 3.9%
peaka_refresh_project_metadata Read 182 3.8%
peaka_refresh_cache_incremental Execute 181 3.8%
peaka_list_columns Read 181 3.8%
peaka_get_metadata_refresh_status Read 173 3.6%
peaka_delete_cache Destructive 172 3.6%
peaka_query_golden_sqls Read 168 3.5%
peaka_refresh_cache_full Execute 165 3.4%
peaka_list_connections Read 162 3.4%
peaka_delete_query Destructive 156 3.2%
peaka_list_tables Read 146 3.0%
peaka_execute_query Execute 144 3.0%
peaka_get_cache_statuses Read 139 2.9%
peaka_list_queries Read 135 2.8%
peaka_list_schemas Read 135 2.8%
peaka_list_catalogs Read 130 2.7%
peaka_list_projects Read 68 1.4%

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 (185 tokens each).

Grant scopeDefinition costReduction
All 26 tools (no gateway) 4,820 tokens
3 granted tools ~556 tokens −88%
5 granted tools ~927 tokens −81%
10 granted tools ~1,854 tokens −62%

Peaka token-cost questions.

How many tokens does the Peaka MCP server use?+

Its 26 tool definitions total 4,820 tokens — 2.4% 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 Peaka 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 Peaka's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Peaka 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 556 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 Peaka tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Peaka 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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