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The Contentrain MCP server costs 4,418 tokens before the first call.

Connect Contentrain and its 19 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 Contentrain MCP server's tool definitions consume 4,418 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 19 tools · 4,418 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: Contentrain ranks #1092 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 4,418 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 233 tokens per tool.

ToolCategoryTokens% of server
contentrain_apply Write 1,036 23.4%
contentrain_model_save Write 519 11.7%
contentrain_content_save Write 368 8.3%
contentrain_scan Read 343 7.8%
contentrain_merge Write 242 5.5%
contentrain_bulk Read 199 4.5%
contentrain_content_delete Destructive 197 4.5%
contentrain_content_list Read 162 3.7%
contentrain_scaffold Read 151 3.4%
contentrain_init Write 151 3.4%
contentrain_validate Read 150 3.4%
contentrain_branch_delete Destructive 145 3.3%
contentrain_doctor Read 144 3.3%
contentrain_describe Read 132 3.0%
contentrain_branch_list Read 119 2.7%
contentrain_submit Write 115 2.6%
contentrain_model_delete Destructive 107 2.4%
contentrain_describe_format Read 74 1.7%
contentrain_status Read 64 1.4%

Most agents use a handful of these tools. They pay for all 19.

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 (233 tokens each).

Grant scopeDefinition costReduction
All 19 tools (no gateway) 4,418 tokens
3 granted tools ~698 tokens −84%
5 granted tools ~1,163 tokens −74%
10 granted tools ~2,325 tokens −47%

Contentrain token-cost questions.

How many tokens does the Contentrain MCP server use?+

Its 19 tool definitions total 4,418 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 Contentrain 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 Contentrain's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Contentrain 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 698 tokens, a 84% 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 19 catalogued Contentrain tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Contentrain 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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