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The KeyID MCP server costs 5,198 tokens before the first call.

Connect KeyID and its 64 tool definitions are loaded into the model's context on every request — 2.6% of a 200k window spent before your agent does anything.

QUICK ANSWER The KeyID MCP server's tool definitions consume 5,198 tokens — 2.7× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 64 tools · 5,198 tokens · 2.6% 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 2.6%
1M WINDOW 0.5%

Corpus context: KeyID ranks #1009 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 5,198 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 81 tokens per tool.

ToolCategoryTokens% of server
start_registration_session Execute 228 4.4%
list_messages Read 165 3.2%
create_or_update_persona Write 162 3.1%
web_search Read 158 3.0%
store_file Write 155 3.0%
create_cron Write 149 2.9%
upload_page_file Write 148 2.8%
wait_for_message Execute 138 2.7%
send_email Write 125 2.4%
save_registration Write 124 2.4%
update_cron Write 117 2.3%
create_page Write 114 2.2%
get_verification_codes Read 110 2.1%
list_registration_sessions Read 107 2.1%
wait_for_registration_artifact Execute 100 1.9%
block_registration_session Read 97 1.9%
update_message Write 93 1.8%
save_browser_state Write 91 1.8%
update_page Write 88 1.7%
list_files Read 87 1.7%
set_auto_reply Write 87 1.7%
list_registrations Read 86 1.7%
follow_verification_link Read 82 1.6%
list_threads Read 80 1.5%
provision_identity Write 80 1.5%
get_metrics Read 79 1.5%
reply_to_message Read 79 1.5%
complete_registration_session Write 78 1.5%
get_webhook_deliveries Read 76 1.5%
put_secret Write 76 1.5%
delete_page_file Destructive 75 1.4%
upsert_contact Write 74 1.4%
set_forwarding Write 66 1.3%
create_webhook Write 64 1.2%
get_file Read 63 1.2%
get_totp_code Read 63 1.2%
get_registration_artifacts Read 61 1.2%
get_registration_session Read 61 1.2%
set_signature Write 61 1.2%
delete_cron Destructive 60 1.2%
get_message Read 60 1.2%
delete_page Destructive 59 1.1%
delete_file Destructive 58 1.1%
get_page Read 58 1.1%
list_page_files Read 58 1.1%
load_browser_state Read 57 1.1%
get_thread Read 55 1.1%
get_registration Read 53 1.0%
delete_contact Destructive 52 1.0%
get_secret Read 52 1.0%
delete_secret Destructive 49 0.9%
get_identity Read 49 0.9%
list_totp_entries Read 48 0.9%
list_crons Read 47 0.9%
request_phone_number Write 47 0.9%
get_reputation Read 45 0.9%
get_auto_reply Read 44 0.8%
get_persona Read 44 0.8%
list_pages Read 44 0.8%
list_secrets Read 44 0.8%
list_webhooks Read 43 0.8%
get_forwarding Read 42 0.8%
list_contacts Read 42 0.8%
get_signature Read 41 0.8%

Most agents use a handful of these tools. They pay for all 64.

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 (81 tokens each).

Grant scopeDefinition costReduction
All 64 tools (no gateway) 5,198 tokens
3 granted tools ~244 tokens −95%
5 granted tools ~406 tokens −92%
10 granted tools ~812 tokens −84%

KeyID token-cost questions.

How many tokens does the KeyID MCP server use?+

Its 64 tool definitions total 5,198 tokens — 2.6% 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 KeyID 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 KeyID's token usage?+

Expose fewer tools. A PolicyLayer grant scopes KeyID 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 244 tokens, a 95% 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 64 catalogued KeyID tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes KeyID 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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