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The Shop MCP server costs 1,770 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 Shop MCP server's 19 tool definitions consume 1,770 tokens — 0.9% of a 200k context window, and around the median MCP server (1,983 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS tiktoken o200k_base · rank #3885 of 7,332 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 0.9%
1M WINDOW 0.2%

Corpus context: Shop ranks #3885 of 7,332 measured MCP servers by definition cost. The median is 1,983 tokens, p90 is 12,223, and the heaviest (Ainumbers Mcp Apps) is 322,450 — 161% of a 200k window on its own. New to this? See MCP token cost and context window in the glossary.

Where the 1,770 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 93 tokens per tool.

ToolCategoryTokens% of server
create_cart Write 143 8.1%
list_orders Read 133 7.5%
request_address_change Read 130 7.3%
search_guides Read 130 7.3%
contact_support Read 119 6.7%
list_products Read 119 6.7%
search_products Read 105 5.9%
list_bestsellers Read 96 5.4%
get_guide Read 94 5.3%
check_availability Read 92 5.2%
get_shop_info Read 87 4.9%
get_product Read 80 4.5%
get_loyalty Read 78 4.4%
link_account Read 73 4.1%
list_offers Read 73 4.1%
get_variants Read 72 4.1%
get_recommendations Read 64 3.6%
get_pickup_info Read 45 2.5%
list_categories Read 37 2.1%

Your agent uses a handful of these tools. It pays for all 19.

You don't need all 19 of those definitions in the window. PolicyLayer is an MCP gateway that sits in front of Shop: 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 19 tools (no gateway) 1,770 tokens
3 granted tools ~279 tokens −84%
5 granted tools ~466 tokens −74%
10 granted tools ~932 tokens −47%
  1. Create a free account and register Shop — 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 SHOP TOKEN COST →

Instant setup, no code required.

Shop token-cost questions.

How many tokens does the Shop MCP server use?+

Its 19 tool definitions total 1,770 tokens — 0.9% 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 Shop 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 Shop's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Shop 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 279 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 24-08-2026 from the PolicyLayer scan database over all 19 catalogued Shop tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Shop 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.

46,500+ MCP servers and 515,000+ tools scanned and risk-classified.

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