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The Chart MCP server costs 13,783 tokens before the first call.

Connect Chart and its 27 tool definitions are loaded into the model's context on every request — 6.9% of a 200k window spent before your agent does anything.

QUICK ANSWER The Chart MCP server's tool definitions consume 13,783 tokens — 7.2× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 27 tools · 13,783 tokens · 6.9% of 200k · 1.4% 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 6.9%
1M WINDOW 1.4%

Corpus context: Chart ranks #109 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 13,783 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 510 tokens per tool.

ToolCategoryTokens% of server
generate_district_map Write 1,246 9.0%
generate_dual_axes_chart Write 693 5.0%
generate_waterfall_chart Write 615 4.5%
generate_area_chart Write 607 4.4%
generate_column_chart Write 585 4.2%
generate_bar_chart Write 568 4.1%
generate_line_chart Write 555 4.0%
generate_pin_map Write 551 4.0%
generate_violin_chart Write 514 3.7%
generate_venn_chart Write 506 3.7%
generate_sankey_chart Write 503 3.6%
generate_boxplot_chart Write 500 3.6%
generate_organization_chart Write 477 3.5%
generate_path_map Write 462 3.4%
generate_radar_chart Write 461 3.3%
generate_treemap_chart Write 460 3.3%
generate_scatter_chart Write 457 3.3%
generate_histogram_chart Write 432 3.1%
generate_pie_chart Write 430 3.1%
generate_spreadsheet Write 425 3.1%
generate_funnel_chart Write 416 3.0%
generate_fishbone_diagram Write 410 3.0%
generate_liquid_chart Write 399 2.9%
generate_mind_map Write 391 2.8%
generate_word_cloud_chart Write 384 2.8%
generate_flow_diagram Write 369 2.7%
generate_network_graph Write 367 2.7%

Most agents use a handful of these tools. They pay for all 27.

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 (510 tokens each).

Grant scopeDefinition costReduction
All 27 tools (no gateway) 13,783 tokens
3 granted tools ~1,531 tokens −89%
5 granted tools ~2,552 tokens −81%
10 granted tools ~5,105 tokens −63%

Chart token-cost questions.

How many tokens does the Chart MCP server use?+

Its 27 tool definitions total 13,783 tokens — 6.9% 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 Chart 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 Chart's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Chart 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 1,531 tokens, a 89% 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 27 catalogued Chart tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Chart 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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