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The Linear MCP Server MCP server costs 2,879 tokens before the first call.

Connect Linear MCP Server and its 32 tool definitions are loaded into the model's context on every request — 1.4% of a 200k window spent before your agent does anything.

QUICK ANSWER The Linear MCP Server MCP server's tool definitions consume 2,879 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 32 tools · 2,879 tokens · 1.4% 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 1.4%
1M WINDOW 0.3%

Corpus context: Linear MCP Server ranks #1325 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 2,879 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 90 tokens per tool.

ToolCategoryTokens% of server
linear_updateIssue Write 459 15.9%
linear_createIssue Write 359 12.5%
linear_searchIssues Read 152 5.3%
linear_createIssueRelation Write 132 4.6%
linear_createProject Write 118 4.1%
linear_updateProject Write 110 3.8%
linear_setIssuePriority Write 102 3.5%
linear_convertIssueToSubtask Write 83 2.9%
linear_assignIssue Write 79 2.7%
linear_removeIssueLabel Destructive 78 2.7%
linear_addIssueLabel Write 78 2.7%
linear_getIssueHistory Read 77 2.7%
linear_getComments Read 76 2.6%
linear_createComment Write 73 2.5%
linear_transferIssue Financial 72 2.5%
linear_addIssueToProject Write 70 2.4%
linear_getCycles Read 69 2.4%
linear_addIssueToCycle Write 69 2.4%
linear_getProjectIssues Read 68 2.4%
linear_getWorkflowStates Read 67 2.3%
linear_getIssueById Read 62 2.2%
linear_subscribeToIssue Write 53 1.8%
linear_getActiveCycle Read 49 1.7%
linear_getIssues Read 49 1.7%
linear_archiveIssue Write 49 1.7%
linear_duplicateIssue Write 49 1.7%
linear_getUsers Read 31 1.1%
linear_getLabels Read 30 1.0%
linear_getOrganization Read 29 1.0%
linear_getProjects Read 29 1.0%
linear_getTeams Read 29 1.0%
linear_getViewer Read 29 1.0%

Most agents use a handful of these tools. They pay for all 32.

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 (90 tokens each).

Grant scopeDefinition costReduction
All 32 tools (no gateway) 2,879 tokens
3 granted tools ~270 tokens −91%
5 granted tools ~450 tokens −84%
10 granted tools ~900 tokens −69%

Linear MCP Server token-cost questions.

How many tokens does the Linear MCP Server MCP server use?+

Its 32 tool definitions total 2,879 tokens — 1.4% 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 Linear 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 Linear MCP Server's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Linear 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 270 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 32 catalogued Linear 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 Linear 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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