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The Patent Space MCP server costs 8,799 tokens before the first call.

Connect Patent Space and its 29 tool definitions are loaded into the model's context on every request — 4.4% of a 200k window spent before your agent does anything.

QUICK ANSWER The Patent Space MCP server's tool definitions consume 8,799 tokens — 4.6× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 29 tools · 8,799 tokens · 4.4% 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 4.4%
1M WINDOW 0.9%

Corpus context: Patent Space ranks #206 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 8,799 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 303 tokens per tool.

ToolCategoryTokens% of server
tool_bayesian_scenario Execute 563 6.4%
tool_patent_search Read 508 5.8%
tool_startability_delta Execute 439 5.0%
tool_startability_ranking Read 416 4.7%
tool_tech_clusters_list Read 406 4.6%
tool_cross_border_similarity Read 405 4.6%
tool_patent_market_fusion Read 384 4.4%
tool_citation_network Execute 362 4.1%
tool_tech_landscape Execute 352 4.0%
tool_tech_trend Execute 329 3.7%
tool_tech_fit Read 303 3.4%
tool_ma_target Read 293 3.3%
tool_startability Read 281 3.2%
tool_tech_trend_alert Execute 277 3.1%
tool_invention_intelligence Read 273 3.1%
tool_patent_valuation Read 272 3.1%
tool_sales_prospect Read 270 3.1%
tool_gdelt_company_events Execute 269 3.1%
tool_cross_domain_discovery Read 266 3.0%
tool_firm_patent_portfolio Read 261 3.0%
tool_adversarial_strategy Read 250 2.8%
tool_patent_compare Execute 231 2.6%
tool_firm_tech_vector Read 223 2.5%
tool_applicant_network Execute 221 2.5%
tool_patent_detail Read 208 2.4%
tool_portfolio_evolution Execute 205 2.3%
tool_similar_firms Read 205 2.3%
tool_tech_gap Read 186 2.1%
tool_entity_resolve Write 141 1.6%

Most agents use a handful of these tools. They pay for all 29.

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 (303 tokens each).

Grant scopeDefinition costReduction
All 29 tools (no gateway) 8,799 tokens
3 granted tools ~910 tokens −90%
5 granted tools ~1,517 tokens −83%
10 granted tools ~3,034 tokens −66%

Patent Space token-cost questions.

How many tokens does the Patent Space MCP server use?+

Its 29 tool definitions total 8,799 tokens — 4.4% 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 Patent Space 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 Patent Space's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Patent Space 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 910 tokens, a 90% 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 29 catalogued Patent Space tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Patent Space to the tools you actually allow. Ungranted definitions never load, and every call that does run is checked against policy first.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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