Home / Token cost / Figma Mcp Go

The Figma Mcp Go MCP server costs 10,242 tokens before the first call.

Connect Figma Mcp Go and its 73 tool definitions are loaded into the model's context on every request — 5.1% of a 200k window spent before your agent does anything.

QUICK ANSWER The Figma Mcp Go MCP server's tool definitions consume 10,242 tokens — 5.4× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 73 tools · 10,242 tokens · 5.1% of 200k · 1.0% 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 5.1%
1M WINDOW 1.0%

Corpus context: Figma Mcp Go ranks #168 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 10,242 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 140 tokens per tool.

ToolCategoryTokens% of server
set_reactions Write 778 7.6%
create_frame Write 405 4.0%
create_text_style Write 321 3.1%
set_auto_layout Write 302 2.9%
create_text Write 297 2.9%
create_grid_style Write 280 2.7%
create_effect_style Write 258 2.5%
save_screenshots Write 236 2.3%
bind_variable_to_node Write 227 2.2%
create_variable Write 220 2.1%
import_image Write 211 2.1%
batch_rename_nodes Write 206 2.0%
set_fills Write 201 2.0%
get_design_context Read 190 1.9%
add_variable_mode Write 180 1.8%
create_rectangle Write 175 1.7%
search_nodes Read 174 1.7%
set_effects Write 174 1.7%
find_replace_text Read 171 1.7%
create_ellipse Write 168 1.6%
create_variable_collection Write 162 1.6%
set_strokes Write 161 1.6%
set_corner_radius Write 160 1.6%
set_blend_mode Write 153 1.5%
get_screenshot Read 140 1.4%
export_frames_to_pdf Write 132 1.3%
set_constraints Write 132 1.3%
rename_node Write 128 1.2%
apply_style_to_node Write 127 1.2%
update_paint_style Write 125 1.2%
clone_node Write 122 1.2%
create_section Write 122 1.2%
remove_reactions Destructive 121 1.2%
get_reactions Read 118 1.2%
scan_nodes_by_types Read 117 1.1%
move_nodes Write 113 1.1%
resize_nodes Write 113 1.1%
set_variable_value Write 111 1.1%
reparent_nodes Write 105 1.0%
group_nodes Write 103 1.0%
get_annotations Read 102 1.0%
reorder_nodes Write 101 1.0%
get_node Read 98 1.0%
set_opacity Write 98 1.0%
swap_component Write 98 1.0%
create_component Write 97 0.9%
rename_page Write 96 0.9%
rotate_nodes Write 94 0.9%
get_nodes_info Read 92 0.9%
create_paint_style Write 92 0.9%
delete_variable Destructive 91 0.9%
scan_text_nodes Read 91 0.9%
set_visible Write 90 0.9%
detach_instance Write 85 0.8%
delete_page Destructive 83 0.8%
get_styles Read 80 0.8%
navigate_to_page Execute 78 0.8%
ungroup_nodes Write 77 0.8%
add_page Write 76 0.7%
delete_nodes Destructive 75 0.7%
set_text Write 75 0.7%
lock_nodes Write 69 0.7%
unlock_nodes Write 69 0.7%
export_tokens Write 67 0.7%
get_document Read 65 0.6%
get_selection Read 59 0.6%
delete_style Destructive 55 0.5%
get_fonts Read 47 0.5%
get_variable_defs Read 46 0.4%
get_pages Read 41 0.4%
get_viewport Read 41 0.4%
get_metadata Read 40 0.4%
get_local_components Read 35 0.3%

Most agents use a handful of these tools. They pay for all 73.

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 (140 tokens each).

Grant scopeDefinition costReduction
All 73 tools (no gateway) 10,242 tokens
3 granted tools ~421 tokens −96%
5 granted tools ~702 tokens −93%
10 granted tools ~1,403 tokens −86%

Figma Mcp Go token-cost questions.

How many tokens does the Figma Mcp Go MCP server use?+

Its 73 tool definitions total 10,242 tokens — 5.1% 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 Go 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 Go's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Figma Mcp Go 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 421 tokens, a 96% 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 73 catalogued Figma Mcp Go 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 Go 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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