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The Tru MCP server costs 6,418 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 Tru MCP server's 35 tool definitions consume 6,418 tokens — 3.2% of a 200k context window, and 3.1× 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 #1016 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 3.2%
1M WINDOW 0.6%

Corpus context: Tru ranks #1016 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 6,418 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 183 tokens per tool.

ToolCategoryTokens% of server
request_payment Financial 540 8.4%
dev_register_app Write 446 6.9%
dev_connect_stripe Write 436 6.8%
suggest_rule Write 428 6.7%
get_card Financial 415 6.5%
request_spt Financial 362 5.6%
resolve_payment Financial 324 5.0%
dev_submit_friction_log Write 289 4.5%
report_purchase Financial 216 3.4%
dev_update_app Write 183 2.9%
dev_configure_login Write 170 2.6%
dev_configure_products Write 168 2.6%
dev_configure_webhook Write 166 2.6%
dev_provision_user Write 166 2.6%
dev_validate Read 160 2.5%
dev_set_provision_url Write 151 2.4%
dev_setup_guide Read 144 2.2%
login Execute 138 2.2%
dev_enable_acp Execute 136 2.1%
check_history Read 124 1.9%
cancel_subscription Financial 118 1.8%
refund_charge Financial 115 1.8%
block_sender Write 105 1.6%
dev_add_agent_signup Read 97 1.5%
discover_products Read 95 1.5%
report_spam Write 85 1.3%
dev_rotate_secret Write 80 1.2%
unblock_sender Write 77 1.2%
check_payment_status Read 76 1.2%
dev_setup Read 76 1.2%
check_rules Read 74 1.2%
check_spending Read 72 1.1%
browse_apps Read 67 1.0%
dev_send_setup_report Write 67 1.0%
logout Write 52 0.8%

Your agent uses a handful of these tools. It pays for all 35.

You don't need all 35 of those definitions in the window. PolicyLayer is an MCP gateway that sits in front of Tru: 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 35 tools (no gateway) 6,418 tokens
3 granted tools ~550 tokens −91%
5 granted tools ~917 tokens −86%
10 granted tools ~1,834 tokens −71%

The risk dividend: 7 of these 35 tools are critical-risk (destructive or financial) and cost 2,090 tokens (33% of the definition load). Block them — the recommended starter policy — and you reclaim that context before tuning anything else.

  1. Create a free account and register Tru — 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 TRU TOKEN COST →

Instant setup, no code required.

Tru token-cost questions.

How many tokens does the Tru MCP server use?+

Its 35 tool definitions total 6,418 tokens — 3.2% 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 Tru 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 Tru's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Tru 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 550 tokens, a 91% 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 35 catalogued Tru tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Tru 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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