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The GitLab Operations MCP server costs 2,440 tokens before the first call.

Connect GitLab Operations and its 22 tool definitions are loaded into the model's context on every request — 1.2% of a 200k window spent before your agent does anything.

QUICK ANSWER The GitLab Operations MCP server's tool definitions consume 2,440 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 22 tools · 2,440 tokens · 1.2% of 200k · 0.2% 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 1.2%
1M WINDOW 0.2%

Corpus context: GitLab Operations ranks #1438 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 2,440 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 111 tokens per tool.

ToolCategoryTokens% of server
update_webhook Write 240 9.8%
update_project_settings Write 235 9.6%
create_webhook Write 231 9.5%
create_ci_variable Write 177 7.3%
create_project_access_token Write 177 7.3%
update_ci_variable Write 166 6.8%
protect_branch Write 164 6.7%
create_group Write 118 4.8%
test_webhook Read 105 4.3%
list_groups Read 86 3.5%
revoke_project_access_token Destructive 74 3.0%
delete_pipeline_trigger Destructive 69 2.8%
unprotect_branch Destructive 68 2.8%
create_pipeline_trigger Write 67 2.7%
delete_ci_variable Destructive 64 2.6%
delete_webhook Destructive 63 2.6%
list_protected_branches Read 59 2.4%
list_webhooks Read 59 2.4%
list_ci_variables Read 58 2.4%
list_project_access_tokens Read 56 2.3%
delete_group Destructive 52 2.1%
list_pipeline_triggers Read 52 2.1%

Most agents use a handful of these tools. They pay for all 22.

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 (111 tokens each).

Grant scopeDefinition costReduction
All 22 tools (no gateway) 2,440 tokens
3 granted tools ~333 tokens −86%
5 granted tools ~555 tokens −77%
10 granted tools ~1,109 tokens −55%

GitLab Operations token-cost questions.

How many tokens does the GitLab Operations MCP server use?+

Its 22 tool definitions total 2,440 tokens — 1.2% 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 GitLab Operations 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 GitLab Operations's token usage?+

Expose fewer tools. A PolicyLayer grant scopes GitLab Operations 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 333 tokens, a 86% 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 22 catalogued GitLab Operations tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes GitLab Operations 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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