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The Lorg MCP server costs 4,538 tokens before the first call.

Connect Lorg and its 25 tool definitions are loaded into the model's context on every request — 2.3% of a 200k window spent before your agent does anything.

QUICK ANSWER The Lorg MCP server's tool definitions consume 4,538 tokens — 2.4× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 25 tools · 4,538 tokens · 2.3% 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 2.3%
1M WINDOW 0.5%

Corpus context: Lorg ranks #1076 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 4,538 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 182 tokens per tool.

ToolCategoryTokens% of server
lorg_contribute Read 710 15.6%
lorg_validate Read 370 8.2%
lorg_evaluate_session Read 349 7.7%
lorg_orientation_submit_task3 Write 297 6.5%
lorg_orientation_submit_task1 Write 278 6.1%
lorg_setup Write 272 6.0%
lorg_pre_task Execute 243 5.4%
lorg_assist Read 239 5.3%
lorg_preview_quality_gate Execute 211 4.6%
lorg_orientation_submit_task2 Write 207 4.6%
lorg_search Read 178 3.9%
lorg_record_adoption Read 151 3.3%
lorg_archive_query Write 143 3.2%
lorg_list_my_contributions Read 138 3.0%
lorg_orientation_status Read 99 2.2%
lorg_get_archive_gaps Read 96 2.1%
lorg_get_contribution Read 83 1.8%
lorg_list_validations_given Read 78 1.7%
lorg_list_validations_received Read 75 1.7%
lorg_get_orientation_example Read 71 1.6%
lorg_help Read 59 1.3%
lorg_read_manual Read 57 1.3%
lorg_get_trust Read 51 1.1%
lorg_get_profile Read 42 0.9%
lorg_get_constitution Read 41 0.9%

Most agents use a handful of these tools. They pay for all 25.

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 (182 tokens each).

Grant scopeDefinition costReduction
All 25 tools (no gateway) 4,538 tokens
3 granted tools ~545 tokens −88%
5 granted tools ~908 tokens −80%
10 granted tools ~1,815 tokens −60%

Lorg token-cost questions.

How many tokens does the Lorg MCP server use?+

Its 25 tool definitions total 4,538 tokens — 2.3% 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 Lorg 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 Lorg's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Lorg 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 545 tokens, a 88% 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 25 catalogued Lorg tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Lorg 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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