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The Binalyze AIR MCP Server MCP server costs 14,723 tokens before the first call.

Connect Binalyze AIR MCP Server and its 116 tool definitions are loaded into the model's context on every request — 7.4% of a 200k window spent before your agent does anything.

QUICK ANSWER The Binalyze AIR MCP Server MCP server's tool definitions consume 14,723 tokens — 7.7× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 116 tools · 14,723 tokens · 7.4% of 200k · 1.5% 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 7.4%
1M WINDOW 1.5%

Corpus context: Binalyze AIR MCP Server ranks #96 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 14,723 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 127 tokens per tool.

ToolCategoryTokens% of server
update_policy Write 733 5.0%
create_policy Write 647 4.4%
assign_triage_task Write 500 3.4%
remove_tags_from_assets Destructive 453 3.1%
add_tags_to_assets Write 453 3.1%
create_acquisition_profile Write 440 3.0%
purge_and_uninstall_assets Destructive 418 2.8%
remove_endpoints_from_case Destructive 416 2.8%
acquire_baseline Write 409 2.8%
uninstall_assets Destructive 408 2.8%
get_policy_match_stats Read 392 2.7%
start_tagging Execute 391 2.7%
assign_image_acquisition_task Write 348 2.4%
assign_acquisition_task Write 266 1.8%
update_ftps_repository Write 223 1.5%
create_ftps_repository Write 198 1.3%
assign_isolation_task Write 187 1.3%
assign_log_retrieval_task Write 182 1.2%
update_sftp_repository Write 181 1.2%
create_organization Write 175 1.2%
validate_ftps_repository Read 174 1.2%
update_organization_by_id Write 174 1.2%
update_amazon_s3_repository Write 168 1.1%
update_case Write 166 1.1%
assign_version_update_task Write 157 1.1%
create_sftp_repository Write 157 1.1%
assign_reboot_task Write 155 1.1%
assign_shutdown_task Write 154 1.0%
create_amazon_s3_repository Write 146 1.0%
validate_amazon_s3_repository Read 142 1.0%
create_triage_rule Write 142 1.0%
update_smb_repository Write 141 1.0%
update_triage_rule Write 140 1.0%
create_case Write 137 0.9%
update_auto_asset_tag Write 126 0.9%
create_smb_repository Write 124 0.8%
update_note_in_case Write 124 0.8%
create_auto_asset_tag Write 120 0.8%
update_azure_storage_repository Write 113 0.8%
update_policy_priorities Write 113 0.8%
delete_note_from_case Destructive 109 0.7%
call_webhook Write 98 0.7%
create_azure_storage_repository Write 93 0.6%
get_task_assignments Read 90 0.6%
get_case_users Read 87 0.6%
add_note_to_case Write 84 0.6%
post_webhook Write 83 0.6%
list_triage_tags Read 81 0.6%
import_task_assignments_to_case Write 78 0.5%
get_case_tasks_by_id Read 77 0.5%
list_acquisition_profiles Read 77 0.5%
get_report_file_info Read 76 0.5%
compare_baseline Write 76 0.5%
create_triage_tag Write 76 0.5%
download_case_ppc Read 74 0.5%
download_task_report Read 73 0.5%
get_case_endpoints Read 73 0.5%
assign_users_to_organization Write 73 0.5%
export_case_endpoints Write 72 0.5%
update_organization_shareable_deployment Write 72 0.5%
remove_task_assignment_from_case Destructive 71 0.5%
get_comparison_report Read 71 0.5%
delete_tags_from_organization Destructive 70 0.5%
remove_user_from_organization Destructive 69 0.5%
add_tags_to_organization Write 69 0.5%
export_audit_logs Write 69 0.5%
list_audit_logs Read 65 0.4%
update_organization_deployment_token Write 64 0.4%
change_case_owner Write 61 0.4%
get_acquisition_profile_by_id Read 58 0.4%
list_triage_rules Read 56 0.4%
get_auto_asset_tag_by_id Read 53 0.4%
get_task_assignments_by_id Read 53 0.4%
list_repositories Read 52 0.4%
delete_auto_asset_tag_by_id Destructive 51 0.3%
get_asset_tasks_by_id Read 51 0.3%
list_policies Read 51 0.3%
get_triage_rule_by_id Read 50 0.3%
list_assets Read 50 0.3%
list_cases Read 50 0.3%
list_tasks Read 50 0.3%
list_users Read 50 0.3%
export_cases Write 50 0.3%
get_case_activities Read 49 0.3%
get_shareable_deployment_info Read 49 0.3%
list_e_discovery_patterns Read 49 0.3%
export_case_activities Write 49 0.3%
get_organization_by_id Read 48 0.3%
get_organization_users Read 48 0.3%
get_repository_by_id Read 48 0.3%
export_case_notes Write 48 0.3%
check_organization_name_exists Read 47 0.3%
get_asset_by_id Read 47 0.3%
get_case_by_id Read 47 0.3%
get_policy_by_id Read 47 0.3%
get_task_by_id Read 47 0.3%
get_user_by_id Read 47 0.3%
list_acquisition_artifacts Read 47 0.3%
delete_task_assignment Destructive 46 0.3%
delete_triage_rule Destructive 46 0.3%
validate_azure_storage_repository Read 46 0.3%
validate_triage_rule Read 46 0.3%
cancel_task_assignment Destructive 45 0.3%
check_case_name Read 45 0.3%
open_case_by_id Write 45 0.3%
cancel_task_by_id Destructive 44 0.3%
delete_policy_by_id Destructive 44 0.3%
delete_task_by_id Destructive 44 0.3%
archive_case_by_id Write 43 0.3%
close_case_by_id Write 43 0.3%
update_banner_message Write 43 0.3%
delete_organization Destructive 42 0.3%
delete_repository Destructive 42 0.3%
list_drone_analyzers Read 33 0.2%
list_auto_asset_tags Read 32 0.2%
list_organizations Read 28 0.2%

Most agents use a handful of these tools. They pay for all 116.

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 (127 tokens each).

Grant scopeDefinition costReduction
All 116 tools (no gateway) 14,723 tokens
3 granted tools ~381 tokens −97%
5 granted tools ~635 tokens −96%
10 granted tools ~1,269 tokens −91%

Binalyze AIR MCP Server token-cost questions.

How many tokens does the Binalyze AIR MCP Server MCP server use?+

Its 116 tool definitions total 14,723 tokens — 7.4% 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 Binalyze AIR MCP Server 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 Binalyze AIR MCP Server's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Binalyze AIR MCP Server 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 381 tokens, a 97% 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 116 catalogued Binalyze AIR MCP Server tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Binalyze AIR MCP Server 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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