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The CorpusIQ MCP server costs 30,939 tokens before the first call.

Connect CorpusIQ and its 60 tool definitions are loaded into the model's context on every request — 15% of a 200k window spent before your agent does anything.

QUICK ANSWER The CorpusIQ MCP server's tool definitions consume 30,939 tokens — 16× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 60 tools · 30,939 tokens · 15% of 200k · 3.1% 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 15%
1M WINDOW 3.1%

Corpus context: CorpusIQ ranks #25 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 30,939 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 516 tokens per tool.

ToolCategoryTokens% of server
meta_ads_connector Read 1,673 5.4%
mailchimp_connector Read 1,661 5.4%
gunbroker_connector Read 1,268 4.1%
odoo_connector Read 1,263 4.1%
klaviyo_connector Read 1,241 4.0%
constantcontact_connector Read 1,148 3.7%
drive_connector Read 1,010 3.3%
crm_connector Read 1,004 3.2%
canonical_connector Write 979 3.2%
youtube_connector Read 921 3.0%
google_ads_connector Read 820 2.7%
database_connector Execute 790 2.6%
quickbooks_connector Read 770 2.5%
stripe_connector Read 763 2.5%
amazon_seller_connector Read 685 2.2%
metric_spec_set Write 651 2.1%
truth_sources_register Write 647 2.1%
cross_source_email_connector Read 605 2.0%
notion_connector Read 600 1.9%
linkedin_ads_connector Read 570 1.8%
calendar_connector Read 554 1.8%
ahrefs_connector Read 534 1.7%
semrush_connector Read 533 1.7%
ebay_connector Read 531 1.7%
posthog_connector Read 506 1.6%
close_connector Write 503 1.6%
activecampaign_connector Read 487 1.6%
calendly_connector Read 475 1.5%
email_connector Read 448 1.4%
monday_connector Read 407 1.3%
cross_source_ads_connector Read 406 1.3%
slack_connector Read 376 1.2%
resolve_connector Write 375 1.2%
tiktok_connector Read 369 1.2%
search_console_connector Read 360 1.2%
airtable_connector Read 340 1.1%
ga4_connector Read 336 1.1%
postscript_connector Read 328 1.1%
truth_sources_list Read 273 0.9%
metric_spec_resolve Write 248 0.8%
metric_spec_list Read 239 0.8%
metric_spec_remove Destructive 234 0.8%
canonical_decisions_add Write 219 0.7%
canonical_facts_set Write 217 0.7%
get_connector_status Read 216 0.7%
canonical_pending_commit Write 206 0.7%
canonical_context_get Read 200 0.6%
truth_sources_remove Destructive 198 0.6%
metric_spec_get Read 197 0.6%
reset_connector_token Destructive 196 0.6%
metric_spec_drift_report Read 191 0.6%
canonical_facts_get Read 175 0.6%
canonical_facts_list Read 156 0.5%
canonical_pending_cancel Destructive 147 0.5%
get_my_usage_stats Read 142 0.5%
canonical_decisions_list Read 139 0.4%
disable_connector Write 131 0.4%
enable_connector Write 116 0.4%
get_user_statistics Read 95 0.3%
logout_all Destructive 67 0.2%

Most agents use a handful of these tools. They pay for all 60.

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 (516 tokens each).

Grant scopeDefinition costReduction
All 60 tools (no gateway) 30,939 tokens
3 granted tools ~1,547 tokens −95%
5 granted tools ~2,578 tokens −92%
10 granted tools ~5,157 tokens −83%

CorpusIQ token-cost questions.

How many tokens does the CorpusIQ MCP server use?+

Its 60 tool definitions total 30,939 tokens — 15% 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 CorpusIQ 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 CorpusIQ's token usage?+

Expose fewer tools. A PolicyLayer grant scopes CorpusIQ 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 1,547 tokens, a 95% 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 60 catalogued CorpusIQ tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes CorpusIQ 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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