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The A11y Assist MCP server costs 2,569 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 A11y Assist MCP server's 12 tool definitions consume 2,569 tokens — 1.3% of a 200k context window, and around the median MCP server (1,866 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS tiktoken o200k_base · rank #5262 of 12,801 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 1.3%
1M WINDOW 0.3%

Corpus context: A11y Assist ranks #5262 of 12,801 measured MCP servers by definition cost. The median is 1,866 tokens, p90 is 13,646, and the heaviest (Ainumbers Mcp Apps) is 442,891 — 221% of a 200k window on its own. New to this? See MCP token cost and context window in the glossary.

Where the 2,569 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 214 tokens per tool.

ToolCategoryTokens% of server
evaluate_applicability Write 492 19.2%
audit_url Execute 297 11.6%
get_aria_role Read 276 10.7%
get_apg_pattern Read 270 10.5%
evaluate_verification Read 209 8.1%
search_act Read 204 7.9%
search_wcag Read 174 6.8%
audit_html Execute 164 6.4%
get_element_roles Read 163 6.3%
get_wcag_sc Read 130 5.1%
get_act_rule Read 107 4.2%
list_apg_patterns Read 83 3.2%

Your agent uses a handful of these tools. It pays for all 12.

You don't need all 12 of those definitions in the window. PolicyLayer is an MCP gateway that sits in front of A11y Assist: 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 12 tools (no gateway) 2,569 tokens —
3 granted tools ~642 tokens −75%
5 granted tools ~1,070 tokens −58%
10 granted tools ~2,141 tokens −17%
  1. Create a free account and register A11y Assist — 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 A11Y ASSIST TOKEN COST →

Instant setup, no code required.

A11y Assist token-cost questions.

How many tokens does the A11y Assist MCP server use?+

Its 12 tool definitions total 2,569 tokens — 1.3% 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 A11y Assist 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 A11y Assist's token usage?+

Expose fewer tools. A PolicyLayer grant scopes A11y Assist 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 642 tokens, a 75% 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 21-10-2026 from the PolicyLayer scan database over all 12 catalogued A11y Assist tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes A11y Assist 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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