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The Lyra Mcp Server MCP server costs 9,230 tokens before the first call.

Connect Lyra Mcp Server and its 34 tool definitions are loaded into the model's context on every request — 4.6% of a 200k window spent before your agent does anything.

QUICK ANSWER The Lyra Mcp Server MCP server's tool definitions consume 9,230 tokens — 4.8× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 34 tools · 9,230 tokens · 4.6% 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 4.6%
1M WINDOW 0.9%

Corpus context: Lyra Mcp Server ranks #194 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 9,230 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 271 tokens per tool.

ToolCategoryTokens% of server
lyra_create_gathering Write 653 7.1%
lyra_send_invite Write 569 6.2%
lyra_recommend_gifts Read 520 5.6%
lyra_suggest_venues Read 515 5.6%
lyra_get_shared_availability Read 503 5.4%
lyra_reschedule_gathering Destructive 496 5.4%
lyra_finalise_gathering Financial 469 5.1%
lyra_record_rsvp Read 448 4.9%
lyra_propose_attendees Read 445 4.8%
lyra_suggest_substitute Read 445 4.8%
lyra_update_gathering Write 405 4.4%
lyra_get_my_calendar_busy_times Read 308 3.3%
lyra_cancel_gathering Destructive 287 3.1%
lyra_get_section Read 216 2.3%
lyra_disconnect_provider Write 194 2.1%
lyra_list_my_contacts Read 191 2.1%
lyra_connect_calendar Write 187 2.0%
lyra_add_item Write 185 2.0%
lyra_list_my_gatherings Read 176 1.9%
lyra_drain_invite_queue Write 175 1.9%
lyra_update_profile Write 174 1.9%
lyra_get_gathering Read 158 1.7%
lyra_list_my_tribes Read 156 1.7%
lyra_add_link Write 155 1.7%
lyra_add_school Write 149 1.6%
lyra_get_profile Read 148 1.6%
lyra_search_profiles Read 143 1.5%
lyra_publish_profile Write 121 1.3%
lyra_remove_item Destructive 113 1.2%
lyra_get_onboarding_coaching Read 111 1.2%
lyra_remove_school Destructive 110 1.2%
lyra_remove_link Destructive 109 1.2%
lyra_get_insights Read 106 1.1%
lyra_list_schools Read 90 1.0%

Most agents use a handful of these tools. They pay for all 34.

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 (271 tokens each).

Grant scopeDefinition costReduction
All 34 tools (no gateway) 9,230 tokens
3 granted tools ~814 tokens −91%
5 granted tools ~1,357 tokens −85%
10 granted tools ~2,715 tokens −71%

Lyra Mcp Server token-cost questions.

How many tokens does the Lyra Mcp Server MCP server use?+

Its 34 tool definitions total 9,230 tokens — 4.6% 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 Lyra Mcp Server 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 Lyra Mcp Server's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Lyra Mcp Server 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 814 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 07-06-2026 from the PolicyLayer scan database over all 34 catalogued Lyra Mcp Server tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Lyra Mcp Server 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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