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The OneSignal MCP server costs 7,232 tokens before the first call.

Connect OneSignal and its 31 tool definitions are loaded into the model's context on every request — 3.6% of a 200k window spent before your agent does anything.

QUICK ANSWER The OneSignal MCP server's tool definitions consume 7,232 tokens — 3.8× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 31 tools · 7,232 tokens · 3.6% of 200k · 0.7% 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 3.6%
1M WINDOW 0.7%

Corpus context: OneSignal ranks #879 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 7,232 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 233 tokens per tool.

ToolCategoryTokens% of server
send_message Write 1,398 19.3%
update_user Write 707 9.8%
create_user Write 588 8.1%
start_live_activity Execute 536 7.4%
view_message Read 317 4.4%
update_template Write 308 4.3%
update_live_activity Write 294 4.1%
create_template Write 288 4.0%
view_outcomes Read 252 3.5%
list_messages Read 242 3.3%
get_segment Read 191 2.6%
update_segment Write 182 2.5%
update_subscription_by_token Write 160 2.2%
export_audience_activity_csv Write 155 2.1%
export_subscriptions_csv Write 154 2.1%
create_subscription Write 149 2.1%
list_templates Read 141 1.9%
create_or_update_alias Write 141 1.9%
create_alias_by_subscription Write 121 1.7%
list_segments Read 114 1.6%
view_user Read 106 1.5%
transfer_subscription Financial 104 1.4%
get_user_identity Read 104 1.4%
unsubscribe_email Write 95 1.3%
create_segment Write 91 1.3%
update_subscription Write 84 1.2%
get_user_identity_by_subscription Read 62 0.9%
get_template Read 56 0.8%
onesignal_reference_overview Write 36 0.5%
onesignal_config Write 29 0.4%
onesignal_health Write 27 0.4%

Most agents use a handful of these tools. They pay for all 31.

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 (233 tokens each).

Grant scopeDefinition costReduction
All 31 tools (no gateway) 7,232 tokens
3 granted tools ~700 tokens −90%
5 granted tools ~1,166 tokens −84%
10 granted tools ~2,333 tokens −68%

OneSignal token-cost questions.

How many tokens does the OneSignal MCP server use?+

Its 31 tool definitions total 7,232 tokens — 3.6% 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 OneSignal 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 OneSignal's token usage?+

Expose fewer tools. A PolicyLayer grant scopes OneSignal 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 700 tokens, a 90% 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 31 catalogued OneSignal tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes OneSignal 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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