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The x711 — Universal Agent Gas Station MCP server costs 9,340 tokens before the first call.

Connect x711 — Universal Agent Gas Station and its 47 tool definitions are loaded into the model's context on every request — 4.7% of a 200k window spent before your agent does anything.

QUICK ANSWER The x711 — Universal Agent Gas Station MCP server's tool definitions consume 9,340 tokens — 4.9× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 47 tools · 9,340 tokens · 4.7% of 200k · 0.9% 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 4.7%
1M WINDOW 0.9%

Corpus context: x711 — Universal Agent Gas Station ranks #192 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 9,340 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 199 tokens per tool.

ToolCategoryTokens% of server
x711_tx_broadcast Execute 528 5.7%
x711_genesis_forge Read 386 4.1%
x711_vault_write Write 379 4.1%
x711_tx_simulate Read 350 3.7%
x711_agent_act Read 304 3.3%
x711_ping_shield_subscribe Write 302 3.2%
x711_hive_write Write 300 3.2%
x711_hallucination_pill Destructive 256 2.7%
x711_hive_watch Read 255 2.7%
x711_agent_telegram Write 248 2.7%
x711_strategy_publish Write 243 2.6%
x711_price_feed Read 237 2.5%
x711_llm_routing Read 234 2.5%
x711_agent_see Read 230 2.5%
x711_agent_ping Execute 223 2.4%
x711_hive_read Read 220 2.4%
x711_hive_forecast Read 212 2.3%
x711_ping_shield_update Write 211 2.3%
x711_wallet_investigate Execute 210 2.2%
x711_swarm_broadcast Read 199 2.1%
x711_data_retrieval Read 185 2.0%
x711_web_search Read 185 2.0%
x711_hive_trending Read 182 1.9%
x711_agent_reputation Read 176 1.9%
x711_ask_clerk Read 172 1.8%
x711_substrate_seed_hypothesis Read 172 1.8%
x711_agent_evolve Read 165 1.8%
x711_self_audit Read 162 1.7%
x711_hive_consensus Read 160 1.7%
x711_ping_for_updates Destructive 158 1.7%
x711_ping_shield_check Read 154 1.6%
x711_email_send Write 154 1.6%
x711_code_sandbox Execute 149 1.6%
x711_discover_new_tools Execute 148 1.6%
x711_vault_query Read 148 1.6%
x711_onchain_insight Read 141 1.5%
x711_social_oracle Read 128 1.4%
x711_deep_search Read 126 1.3%
x711_hive_feature Read 125 1.3%
x711_get_latest_gas_station Read 123 1.3%
x711_x402_parse Execute 120 1.3%
x711_strategy_fork Read 119 1.3%
x711_ping_shield_status Read 113 1.2%
x711_substrate_domain_digest Read 108 1.2%
x711_substrate_daily_digest Read 85 0.9%
x711_vault_compress Read 85 0.9%
x711_substrate_leaderboard Read 70 0.7%

Most agents use a handful of these tools. They pay for all 47.

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 (199 tokens each).

Grant scopeDefinition costReduction
All 47 tools (no gateway) 9,340 tokens
3 granted tools ~596 tokens −94%
5 granted tools ~994 tokens −89%
10 granted tools ~1,987 tokens −79%

x711 — Universal Agent Gas Station token-cost questions.

How many tokens does the x711 — Universal Agent Gas Station MCP server use?+

Its 47 tool definitions total 9,340 tokens — 4.7% 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 x711 — Universal Agent Gas Station 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 x711 — Universal Agent Gas Station's token usage?+

Expose fewer tools. A PolicyLayer grant scopes x711 — Universal Agent Gas Station 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 596 tokens, a 94% 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 47 catalogued x711 — Universal Agent Gas Station tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes x711 — Universal Agent Gas Station 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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