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The Arkolith MCP server costs 4,758 tokens before the first call.

Connect Arkolith and its 32 tool definitions are loaded into the model's context on every request — 2.4% of a 200k window spent before your agent does anything.

QUICK ANSWER The Arkolith MCP server's tool definitions consume 4,758 tokens — 2.5× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 32 tools · 4,758 tokens · 2.4% 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 2.4%
1M WINDOW 0.5%

Corpus context: Arkolith ranks #1054 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 4,758 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 149 tokens per tool.

ToolCategoryTokens% of server
clinicaltrials.search Read 367 7.7%
fda.approvals Read 364 7.7%
signal.confluence Read 292 6.1%
fda.recalls Read 238 5.0%
congress.disclosures.list Read 202 4.2%
events.latest Read 195 4.1%
insider.transactions Read 194 4.1%
copy.leaderboard Read 178 3.7%
signal.crowding Read 164 3.4%
congress.trades Read 161 3.4%
watchlist.poll Read 161 3.4%
insider.clusters Read 155 3.3%
pharma.resolve Read 145 3.0%
copy.target.get Read 139 2.9%
fund.list Execute 131 2.8%
feedback.submit Execute 129 2.7%
divergence.scan Read 124 2.6%
fund.holdings.as_of Read 116 2.4%
macro.series.get Read 115 2.4%
fund.position.history Read 114 2.4%
watchlist.poll.live Read 110 2.3%
stock.owners Read 108 2.3%
insider.company Read 106 2.2%
predictionmarket.list Read 100 2.1%
fund.holdings Read 94 2.0%
provenance.get Read 94 2.0%
search Read 90 1.9%
congress.member.search Read 89 1.9%
predictionmarket.quote Read 84 1.8%
fund.holdings.diff Write 72 1.5%
macro.series.search Read 65 1.4%
account.balance Read 62 1.3%

Most agents use a handful of these tools. They pay for all 32.

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 (149 tokens each).

Grant scopeDefinition costReduction
All 32 tools (no gateway) 4,758 tokens
3 granted tools ~446 tokens −91%
5 granted tools ~743 tokens −84%
10 granted tools ~1,487 tokens −69%

Arkolith token-cost questions.

How many tokens does the Arkolith MCP server use?+

Its 32 tool definitions total 4,758 tokens — 2.4% 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 Arkolith 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 Arkolith's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Arkolith 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 446 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 32 catalogued Arkolith tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Arkolith 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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