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The TaScan MCP server costs 3,614 tokens before the first call.

Connect TaScan and its 32 tool definitions are loaded into the model's context on every request — 1.8% of a 200k window spent before your agent does anything.

QUICK ANSWER The TaScan MCP server's tool definitions consume 3,614 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 · 3,614 tokens · 1.8% of 200k · 0.4% 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 1.8%
1M WINDOW 0.4%

Corpus context: TaScan ranks #1208 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 3,614 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 113 tokens per tool.

ToolCategoryTokens% of server
tascan_add_tasks Write 347 9.6%
tascan_dispatch_instruction Write 285 7.9%
tascan_register_agent Write 279 7.7%
tascan_recommend_fix Write 210 5.8%
tascan_dispatch_to_agent Write 195 5.4%
tascan_send_task_email Write 195 5.4%
tascan_update_task Write 176 4.9%
tascan_update_event Write 150 4.2%
tascan_create_event Write 149 4.1%
tascan_analyze_issue Read 142 3.9%
tascan_update_project Write 126 3.5%
tascan_complete_task Write 124 3.4%
tascan_auto_resolve Write 100 2.8%
tascan_apply_template Write 88 2.4%
tascan_update_worker Write 86 2.4%
tascan_list_issues Read 85 2.4%
tascan_create_worker Write 71 2.0%
tascan_delete_event Destructive 64 1.8%
tascan_get_report Read 64 1.8%
tascan_list_agents Read 64 1.8%
tascan_create_project Write 64 1.8%
tascan_generate_qr Write 62 1.7%
tascan_delete_project Destructive 59 1.6%
tascan_list_templates Read 59 1.6%
tascan_get_event Read 56 1.5%
tascan_delete_task Destructive 54 1.5%
tascan_list_tasks Read 53 1.5%
tascan_list_events Read 49 1.4%
tascan_get_task Read 48 1.3%
tascan_get_project Read 45 1.2%
tascan_list_workers Read 34 0.9%
tascan_list_projects Read 31 0.9%

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 (113 tokens each).

Grant scopeDefinition costReduction
All 32 tools (no gateway) 3,614 tokens
3 granted tools ~339 tokens −91%
5 granted tools ~565 tokens −84%
10 granted tools ~1,129 tokens −69%

TaScan token-cost questions.

How many tokens does the TaScan MCP server use?+

Its 32 tool definitions total 3,614 tokens — 1.8% 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 TaScan 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 TaScan's token usage?+

Expose fewer tools. A PolicyLayer grant scopes TaScan 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 339 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 TaScan tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes TaScan 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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