Home / Token cost / Miro Server

The Miro Server MCP server costs 19,651 tokens before the first call.

Connect Miro Server and its 97 tool definitions are loaded into the model's context on every request — 9.8% of a 200k window spent before your agent does anything.

QUICK ANSWER The Miro Server MCP server's tool definitions consume 19,651 tokens — 10× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 97 tools · 19,651 tokens · 9.8% of 200k · 2.0% 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 9.8%
1M WINDOW 2.0%

Corpus context: Miro Server ranks #54 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 19,651 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 203 tokens per tool.

ToolCategoryTokens% of server
create-items-in-bulk Write 907 4.6%
update-shape-item Write 768 3.9%
update-sticky-note-item Write 680 3.5%
create-shape-item Write 628 3.2%
update-app-card-item Write 599 3.0%
update-frame-item Write 586 3.0%
update-card-item Write 569 2.9%
create-sticky-note-item Write 536 2.7%
create-app-card-item Write 514 2.6%
create-frame Write 505 2.6%
update-text-item Write 502 2.6%
create-card-item Write 482 2.5%
update-image-item Write 456 2.3%
update-connector Write 435 2.2%
update-embed-item Write 428 2.2%
update-document-item Write 408 2.1%
create-image-item-using-url Write 386 2.0%
create-text-item Write 385 2.0%
create-connector Write 372 1.9%
create-embed-item Write 366 1.9%
update-image-item-using-file Write 334 1.7%
create-mindmap-node Write 312 1.6%
create-document-item Write 301 1.5%
get-organization-members Read 291 1.5%
get-board-content-logs Read 283 1.4%
create-image-item-using-file Write 255 1.3%
update-item-position Write 229 1.2%
copy-board Write 212 1.1%
get-audit-logs Read 206 1.0%
update-board Write 204 1.0%
get-legal-hold-content-items Read 177 0.9%
create-board Write 162 0.8%
update-tag Write 155 0.8%
update-board-member Write 153 0.8%
get-group-items Read 144 0.7%
add-project-member Write 143 0.7%
get-all-legal-holds Read 142 0.7%
create-tag Write 140 0.7%
get-mindmap-nodes Read 135 0.7%
create-board-export-job Write 134 0.7%
get-all-tags Read 133 0.7%
get-items-on-board Read 133 0.7%
update-group Write 128 0.7%
get-all-board-members Read 127 0.6%
get-connectors Read 126 0.6%
get-all-groups Read 122 0.6%
get-project-member Read 121 0.6%
remove-project-member Destructive 120 0.6%
delete-group Destructive 119 0.6%
ungroup-items Read 113 0.6%
get-all-cases Read 112 0.6%
share-board Read 112 0.6%
get-legal-hold Read 107 0.5%
detach-tag Read 105 0.5%
attach-tag Write 105 0.5%
create-group Write 105 0.5%
list-boards Read 104 0.5%
update-board-classification Write 101 0.5%
get-mindmap-node Read 89 0.5%
create-items-in-bulk-using-file Write 88 0.4%
delete-mindmap-node Destructive 86 0.4%
get-sticky-note-item Read 83 0.4%
get-app-card-item Read 82 0.4%
get-board-classification Read 82 0.4%
get-frame-item Read 82 0.4%
delete-sticky-note-item Destructive 81 0.4%
delete-app-card-item Destructive 80 0.4%
get-item-tags Read 80 0.4%
get-text-item Read 80 0.4%
get-embed-item Read 79 0.4%
get-shape-item Read 79 0.4%
delete-frame-item Destructive 78 0.4%
delete-text-item Destructive 78 0.4%
get-card-item Read 78 0.4%
get-document-item Read 78 0.4%
get-image-item Read 78 0.4%
get-specific-connector Read 78 0.4%
delete-embed-item Destructive 77 0.4%
delete-shape-item Destructive 77 0.4%
get-specific-item Read 77 0.4%
delete-card-item Destructive 76 0.4%
delete-document-item Destructive 76 0.4%
delete-image-item Destructive 76 0.4%
get-case Read 76 0.4%
get-tag Read 76 0.4%
delete-connector Destructive 75 0.4%
delete-item Destructive 74 0.4%
delete-tag Destructive 74 0.4%
delete-board Destructive 73 0.4%
get-board-export-job-status Read 68 0.3%
get-group Read 68 0.3%
get-board-export-job-results Read 66 0.3%
get-specific-board-member Read 65 0.3%
get-organization-member Read 63 0.3%
remove-board-member Destructive 61 0.3%
get-specific-board Read 54 0.3%
get-organization-info Read 43 0.2%

Most agents use a handful of these tools. They pay for all 97.

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 (203 tokens each).

Grant scopeDefinition costReduction
All 97 tools (no gateway) 19,651 tokens
3 granted tools ~608 tokens −97%
5 granted tools ~1,013 tokens −95%
10 granted tools ~2,026 tokens −90%

Miro Server token-cost questions.

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

Its 97 tool definitions total 19,651 tokens — 9.8% 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 Miro 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 Miro Server's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Miro 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 608 tokens, a 97% 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 97 catalogued Miro Server tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Miro Server to the tools you actually allow. Ungranted definitions never load, and every call that does run is checked against policy first.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.