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The Conta Azul MCP server costs 4,436 tokens before the first call.

Connect Conta Azul and its 37 tool definitions are loaded into the model's context on every request — 2.2% of a 200k window spent before your agent does anything.

QUICK ANSWER The Conta Azul MCP MCP server's tool definitions consume 4,436 tokens — 2.3× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 37 tools · 4,436 tokens · 2.2% of 200k · 0.4% 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 2.2%
1M WINDOW 0.4%

Corpus context: Conta Azul ranks #1089 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 4,436 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 120 tokens per tool.

ToolCategoryTokens% of server
marketplace Destructive 419 9.4%
contaazul_update_installment Write 240 5.4%
contaazul_receivable_create Write 223 5.0%
contaazul_list_contracts Read 195 4.4%
contaazul_list_receivables Read 185 4.2%
contaazul_list_payables Read 168 3.8%
contaazul_list_sales Read 152 3.4%
contaazul_person_write_create Write 146 3.3%
contaazul_person_write_update Write 146 3.3%
contaazul_payable_create Write 145 3.3%
contaazul_sale_write_create Write 134 3.0%
contaazul_sale_write_update Write 134 3.0%
authenticate Write 126 2.8%
contaazul_list_invoices_nfe Read 123 2.8%
contaazul_list_people Read 119 2.7%
contaazul_list_installments Read 114 2.6%
contaazul_get_account_balance Read 111 2.5%
contaazul_product_write Write 109 2.5%
contaazul_person_delete Destructive 95 2.1%
contaazul_sale_cancel Destructive 94 2.1%
contaazul_list_products Read 94 2.1%
contaazul_get_invoice_nfe Read 91 2.1%
contaazul_get_installment Read 89 2.0%
contaazul_get_person Read 88 2.0%
contaazul_get_sale Read 88 2.0%
report_bug Write 86 1.9%
contaazul_list_categories Read 75 1.7%
contaazul_list_financial_accounts Read 74 1.7%
contaazul_list_services Read 73 1.6%
contaazul_service_write Write 72 1.6%
connect Write 69 1.6%
contaazul_contract_write Write 69 1.6%
contaazul_list_cost_centers Read 67 1.5%
contaazul_get_company Read 61 1.4%
contaazul_list_accounts Read 60 1.4%
toolkit_info Read 58 1.3%
show_version Read 44 1.0%

Most agents use a handful of these tools. They pay for all 37.

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 (120 tokens each).

Grant scopeDefinition costReduction
All 37 tools (no gateway) 4,436 tokens
3 granted tools ~360 tokens −92%
5 granted tools ~599 tokens −86%
10 granted tools ~1,199 tokens −73%

Conta Azul MCP token-cost questions.

How many tokens does the Conta Azul MCP server use?+

Its 37 tool definitions total 4,436 tokens — 2.2% 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 Conta Azul MCP 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 Conta Azul MCP's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Conta Azul MCP 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 360 tokens, a 92% 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 37 catalogued Conta Azul MCP tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Conta Azul MCP 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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