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The Statbotics MCP server costs 4,723 tokens before the first call.

Every request your agent makes carries every tool definition this server exposes — context your code, documents and conversation can't use, mostly for tools the agent never calls. You don't need them all in the window, and you don't have to pay for them.

QUICK ANSWER The Statbotics MCP server's 14 tool definitions consume 4,723 tokens — 2.4% of a 200k context window, and 2.3× the median MCP server (2,069 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS tiktoken o200k_base · rank #1141 of 3,354 measured servers · refreshed every build Method →

What that costs 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: Statbotics ranks #1141 of 3,354 measured MCP servers by definition cost. The median is 2,069 tokens, p90 is 11,359, and the heaviest (SmartBear MCP) is 137,725 — 69% of a 200k window on its own. New to this? See MCP token cost and context window in the glossary.

Where the 4,723 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 337 tokens per tool.

ToolCategoryTokens% of server
get_team_events Read 540 11.4%
get_events Read 498 10.5%
get_teams Read 458 9.7%
get_team_years Read 452 9.6%
get_team_matches Read 438 9.3%
get_matches Read 431 9.1%
get_years Read 288 6.1%
get_team_year Read 245 5.2%
get_match Read 238 5.0%
get_event Read 231 4.9%
get_year Read 231 4.9%
get_team_event Read 226 4.8%
get_team Read 225 4.8%
get_team_match Read 222 4.7%

Your agent uses a handful of these tools. It pays for all 14.

You don't need all 14 of those definitions in the window. PolicyLayer is an MCP gateway that sits in front of Statbotics: only the tools you grant are exposed to the agent, the rest never load. A smaller window means a sharper agent — less noise when it picks a tool — and every request costs less:

Grant scopeDefinition costReduction
All 14 tools (no gateway) 4,723 tokens
3 granted tools ~1,012 tokens −79%
5 granted tools ~1,687 tokens −64%
10 granted tools ~3,374 tokens −29%
  1. Create a free account and register Statbotics — nothing to install.
  2. Grant only the tools you use — ungranted definitions never enter the context window.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
CUT STATBOTICS TOKEN COST →

Instant setup, no code required.

Statbotics token-cost questions.

How many tokens does the Statbotics MCP server use?+

Its 14 tool definitions total 4,723 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 Statbotics 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 Statbotics's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Statbotics 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 1,012 tokens, a 79% 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 06-07-2026 from the PolicyLayer scan database over all 14 catalogued Statbotics tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Statbotics to the tools you actually allow. Ungranted definitions never load, and every call that does run is checked against policy first.

Instant setup, no code required.

43,000+ MCP servers and 220,000+ tools scanned and risk-classified.

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