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The Aws Security MCP server costs 3,055 tokens before the first call.

Connect Aws Security and its 33 tool definitions are loaded into the model's context on every request — 1.5% of a 200k window spent before your agent does anything.

QUICK ANSWER The Aws Security MCP server's tool definitions consume 3,055 tokens — around the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 33 tools · 3,055 tokens · 1.5% of 200k · 0.3% 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 1.5%
1M WINDOW 0.3%

Corpus context: Aws Security ranks #1293 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 3,055 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 93 tokens per tool.

ToolCategoryTokens% of server
scan_group Read 244 8.0%
scan_and_report Read 209 6.8%
scan_all Read 180 5.9%
generate_mlps3_html_report Write 143 4.7%
generate_mlps3_report Write 129 4.2%
generate_html_report Write 126 4.1%
generate_hw_defense_report Write 113 3.7%
generate_maturity_report Write 104 3.4%
generate_report Write 101 3.3%
save_results Write 99 3.2%
get_setup_template Read 81 2.7%
scan_iam_privilege_escalation Read 79 2.6%
scan_imdsv2_enforcement Read 77 2.5%
scan_trusted_advisor_findings Read 75 2.5%
scan_access_analyzer_findings Read 74 2.4%
scan_guardduty_findings Read 74 2.4%
scan_patch_compliance_findings Read 74 2.4%
scan_security_hub_findings Read 74 2.4%
scan_config_rules_findings Read 73 2.4%
scan_dns_dangling Read 73 2.4%
scan_network_reachability Read 73 2.4%
scan_waf_coverage Read 73 2.4%
scan_disaster_recovery Read 72 2.4%
scan_inspector_findings Read 72 2.4%
scan_public_access_verify Read 72 2.4%
list_org_accounts Read 71 2.3%
scan_secret_exposure Read 71 2.3%
scan_tag_compliance Read 71 2.3%
detect_services Read 70 2.3%
scan_idle_resources Read 70 2.3%
scan_ssl_certificate Read 70 2.3%
list_modules Read 38 1.2%
list_groups Read 30 1.0%

Most agents use a handful of these tools. They pay for all 33.

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 (93 tokens each).

Grant scopeDefinition costReduction
All 33 tools (no gateway) 3,055 tokens
3 granted tools ~278 tokens −91%
5 granted tools ~463 tokens −85%
10 granted tools ~926 tokens −70%

Aws Security token-cost questions.

How many tokens does the Aws Security MCP server use?+

Its 33 tool definitions total 3,055 tokens — 1.5% 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 Aws Security 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 Aws Security's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Aws Security 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 278 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 33 catalogued Aws Security tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Aws Security 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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