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The Nullary MCP server costs 7,055 tokens before the first call.

Connect Nullary and its 35 tool definitions are loaded into the model's context on every request — 3.5% of a 200k window spent before your agent does anything.

QUICK ANSWER The Nullary MCP server's tool definitions consume 7,055 tokens — 3.7× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 35 tools · 7,055 tokens · 3.5% of 200k · 0.7% 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 3.5%
1M WINDOW 0.7%

Corpus context: Nullary ranks #901 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 7,055 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 202 tokens per tool.

ToolCategoryTokens% of server
get_compound Read 256 3.6%
search_protac_e3_issues Read 239 3.4%
search_failed_oligonucleotides Read 237 3.4%
search_failed_protacs Read 236 3.3%
search_mechanism_failures Read 235 3.3%
search_ancestry_specific_failures Read 233 3.3%
search_failed_essentiality_screens Read 233 3.3%
search_admet_failures_all_modalities Read 232 3.3%
search_failed_bispecifics Read 232 3.3%
search_failed_clinical_antibodies Read 232 3.3%
search_peptide_stability_issues Read 232 3.3%
search_vaccine_immunogenicity_failures Read 232 3.3%
search_bispecific_format_failures Read 231 3.3%
search_oligo_delivery_failures Read 231 3.3%
search_adc_linker_failures Read 230 3.3%
search_failed_guides Read 230 3.3%
search_failed_peptide_therapeutics Read 230 3.3%
search_inactive_compounds Read 230 3.3%
search_safety_failures Read 230 3.3%
search_admet_failures Read 229 3.2%
search_developability_failures Read 229 3.2%
search_failed_adcs Read 229 3.2%
search_failed_replications Read 228 3.2%
search_failed_selectivity Read 228 3.2%
search_failed_vaccines Read 227 3.2%
search_drug_drug_interaction_failures Read 216 3.1%
search_pathogen_history Read 188 2.7%
search_target_history Read 187 2.7%
search_indication_history Read 186 2.6%
list_top_targets Read 121 1.7%
get_target_landscape Read 110 1.6%
get_model_card Read 98 1.4%
list_models Read 51 0.7%
get_finding_provenance Read 49 0.7%
get_coverage Read 38 0.5%

Most agents use a handful of these tools. They pay for all 35.

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 (202 tokens each).

Grant scopeDefinition costReduction
All 35 tools (no gateway) 7,055 tokens
3 granted tools ~605 tokens −91%
5 granted tools ~1,008 tokens −86%
10 granted tools ~2,016 tokens −71%

Nullary token-cost questions.

How many tokens does the Nullary MCP server use?+

Its 35 tool definitions total 7,055 tokens — 3.5% 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 Nullary 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 Nullary's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Nullary 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 605 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 35 catalogued Nullary tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Nullary 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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