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The Figma MCP Server MCP server costs 2,712 tokens before the first call.

Connect Figma MCP Server and its 31 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 Figma MCP Server MCP server's tool definitions consume 2,712 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 31 tools · 2,712 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: Figma MCP Server ranks #1362 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 2,712 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 87 tokens per tool.

ToolCategoryTokens% of server
figma_get_images Read 288 10.6%
figma_get_file Read 167 6.2%
figma_post_webhook Write 159 5.9%
figma_get_file_nodes Read 150 5.5%
figma_update_webhook Write 138 5.1%
figma_get_file_versions Read 124 4.6%
figma_get_team_component_sets Read 116 4.3%
figma_get_team_components Read 111 4.1%
figma_get_team_styles Read 111 4.1%
figma_post_comment Write 101 3.7%
figma_get_library_analytics_component_usages Read 94 3.5%
figma_get_library_analytics_style_usages Read 94 3.5%
figma_get_library_analytics_variable_usages Read 94 3.5%
figma_post_comment_reaction Write 83 3.1%
figma_delete_comment_reaction Destructive 82 3.0%
figma_get_comment_reactions Read 79 2.9%
figma_get_comments Read 68 2.5%
figma_delete_comment Destructive 65 2.4%
figma_get_project_files Read 63 2.3%
figma_get_image_fills Read 49 1.8%
figma_get_team_webhooks Read 49 1.8%
figma_get_file_component_sets Read 47 1.7%
figma_get_team_projects Read 46 1.7%
figma_get_component_set Read 45 1.7%
figma_get_file_components Read 45 1.7%
figma_get_file_styles Read 45 1.7%
figma_get_webhook Read 45 1.7%
figma_delete_webhook Destructive 43 1.6%
figma_get_component Read 42 1.5%
figma_get_style Read 42 1.5%
figma_get_me Read 27 1.0%

Most agents use a handful of these tools. They pay for all 31.

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 (87 tokens each).

Grant scopeDefinition costReduction
All 31 tools (no gateway) 2,712 tokens
3 granted tools ~262 tokens −90%
5 granted tools ~437 tokens −84%
10 granted tools ~875 tokens −68%

Figma MCP Server token-cost questions.

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

Its 31 tool definitions total 2,712 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 Figma 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 Figma MCP Server's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Figma 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 262 tokens, a 90% 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 31 catalogued Figma 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 Figma 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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