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The Clickup MCP server costs 7,475 tokens before the first call.

Connect Clickup and its 41 tool definitions are loaded into the model's context on every request — 3.7% of a 200k window spent before your agent does anything.

QUICK ANSWER The Clickup MCP server's tool definitions consume 7,475 tokens — 3.9× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 41 tools · 7,475 tokens · 3.7% of 200k · 0.7% 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 3.7%
1M WINDOW 0.7%

Corpus context: Clickup ranks #712 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 7,475 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 182 tokens per tool.

ToolCategoryTokens% of server
task_list_for_list Read 653 8.7%
time_report_for_context Read 625 8.4%
task_risk_report Read 510 6.8%
task_status_report Read 485 6.5%
workspace_hierarchy Read 444 5.9%
task_read Read 432 5.8%
task_comment_list Write 381 5.1%
task_search Read 339 4.5%
doc_list Read 244 3.3%
time_report_for_container Write 218 2.9%
list_custom_field_list Read 195 2.6%
time_entry_list Read 191 2.6%
doc_read Read 188 2.5%
hierarchy_resolve_path Write 185 2.5%
doc_search_bulk Read 147 2.0%
time_report_for_space_tag Read 144 1.9%
time_report_for_tag Read 141 1.9%
member_resolve Write 141 1.9%
task_assignee_resolve Write 139 1.9%
doc_pages_read Read 135 1.8%
doc_search Read 134 1.8%
member_search_by_name Read 121 1.6%
task_search_fuzzy_bulk Read 113 1.5%
list_list_for_space_or_folder Read 103 1.4%
task_search_fuzzy Read 98 1.3%
reference_page_fetch Read 81 1.1%
task_time_entry_list Read 78 1.0%
space_list_for_workspace Read 75 1.0%
workspace_overview Read 74 1.0%
doc_page_read Read 73 1.0%
folder_list_for_space Read 72 1.0%
doc_page_list Read 67 0.9%
space_tag_list Read 65 0.9%
reference_link_list Read 62 0.8%
workspace_list Read 57 0.8%
member_list_for_workspace Read 56 0.7%
time_entry_current Read 47 0.6%
workspace_capability_snapshot Read 46 0.6%
tool_catalogue Read 42 0.6%
health Read 39 0.5%
ping Read 35 0.5%

Most agents use a handful of these tools. They pay for all 41.

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 (182 tokens each).

Grant scopeDefinition costReduction
All 41 tools (no gateway) 7,475 tokens
3 granted tools ~547 tokens −93%
5 granted tools ~912 tokens −88%
10 granted tools ~1,823 tokens −76%

Clickup token-cost questions.

How many tokens does the Clickup MCP server use?+

Its 41 tool definitions total 7,475 tokens — 3.7% 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 Clickup 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 Clickup's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Clickup 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 547 tokens, a 93% 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 41 catalogued Clickup tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Clickup 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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