Home / Token cost / Firmaradar

The Firmaradar MCP server costs 8,581 tokens before the first call.

Connect Firmaradar and its 31 tool definitions are loaded into the model's context on every request — 4.3% of a 200k window spent before your agent does anything.

QUICK ANSWER The Firmaradar MCP server's tool definitions consume 8,581 tokens — 4.5× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 31 tools · 8,581 tokens · 4.3% 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 4.3%
1M WINDOW 0.9%

Corpus context: Firmaradar ranks #216 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 8,581 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 277 tokens per tool.

ToolCategoryTokens% of server
firmaradar_subscribe_nace Write 818 9.5%
firmaradar_search_companies Read 798 9.3%
firmaradar_list_companies_in_nace Read 713 8.3%
firmaradar_search_announcements Read 495 5.8%
firmaradar_list_nace_codes Read 399 4.6%
firmaradar_get_company_ownership Read 329 3.8%
firmaradar_check_aml_pep Read 297 3.5%
firmaradar_confirm_risk_score_disclaimer Read 294 3.4%
firmaradar_get_company Read 291 3.4%
firmaradar_get_risk_score Read 284 3.3%
firmaradar_check_fiv_bulk Read 252 2.9%
firmaradar_get_company_roles Read 235 2.7%
firmaradar_get_recent_changes Read 232 2.7%
firmaradar_get_company_financials Read 227 2.6%
firmaradar_search_persons Read 223 2.6%
firmaradar_find_related_companies Read 222 2.6%
firmaradar_start_aml_report Execute 217 2.5%
firmaradar_compare_companies Read 214 2.5%
firmaradar_get_risk_score_bulk Read 205 2.4%
firmaradar_convert_nok Write 196 2.3%
firmaradar_get_konsernstotte Read 189 2.2%
firmaradar_get_aml_score Read 187 2.2%
firmaradar_get_person Read 185 2.2%
firmaradar_get_company_signals Read 152 1.8%
firmaradar_delete_subscription Destructive 145 1.7%
firmaradar_get_aml_report Read 144 1.7%
firmaradar_get_person_roles Read 141 1.6%
firmaradar_get_person_companies Read 138 1.6%
firmaradar_check_foretak_i_vanskeligheter Read 131 1.5%
firmaradar_list_my_subscriptions Read 123 1.4%
firmaradar_get_company_announcements Read 105 1.2%

Most agents use a handful of these tools. They pay for all 31.

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 (277 tokens each).

Grant scopeDefinition costReduction
All 31 tools (no gateway) 8,581 tokens
3 granted tools ~830 tokens −90%
5 granted tools ~1,384 tokens −84%
10 granted tools ~2,768 tokens −68%

Firmaradar token-cost questions.

How many tokens does the Firmaradar MCP server use?+

Its 31 tool definitions total 8,581 tokens — 4.3% 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 Firmaradar 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 Firmaradar's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Firmaradar 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 830 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 31 catalogued Firmaradar tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Firmaradar 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.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.