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The Claude Faf MCP server costs 3,353 tokens before the first call.

Connect Claude Faf and its 33 tool definitions are loaded into the model's context on every request — 1.7% of a 200k window spent before your agent does anything.

QUICK ANSWER The Claude Faf MCP server's tool definitions consume 3,353 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 33 tools · 3,353 tokens · 1.7% of 200k · 0.3% 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 1.7%
1M WINDOW 0.3%

Corpus context: Claude Faf ranks #1252 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 3,353 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 102 tokens per tool.

ToolCategoryTokens% of server
faf_bi_sync Read 228 6.8%
faf_list Read 188 5.6%
faf_enhance Read 164 4.9%
faf_cursor Read 151 4.5%
faf_gemini Read 150 4.5%
faf_agents Read 149 4.4%
faf_init Write 141 4.2%
faf_conductor Read 138 4.1%
faf_go Read 132 3.9%
faf_human_add Write 132 3.9%
faf_quick Read 126 3.8%
faf_readme Read 124 3.7%
faf_tri_sync Read 111 3.3%
faf_git Read 102 3.0%
faf_check Read 101 3.0%
faf_clear Destructive 95 2.8%
faf_auto Read 93 2.8%
faf_formats Read 89 2.7%
faf_score Read 86 2.6%
faf_dna Read 77 2.3%
faf Execute 72 2.1%
faf_write Write 72 2.1%
faf_friday Read 70 2.1%
faf_status Read 69 2.1%
faf_sync Read 69 2.1%
faf_context Write 68 2.0%
faf_chat Execute 65 1.9%
faf_doctor Read 65 1.9%
faf_read Read 54 1.6%
faf_trust Read 45 1.3%
faf_guide Read 44 1.3%
faf_about Read 42 1.3%
faf_debug Read 41 1.2%

Most agents use a handful of these tools. They pay for all 33.

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 (102 tokens each).

Grant scopeDefinition costReduction
All 33 tools (no gateway) 3,353 tokens
3 granted tools ~305 tokens −91%
5 granted tools ~508 tokens −85%
10 granted tools ~1,016 tokens −70%

Claude Faf token-cost questions.

How many tokens does the Claude Faf MCP server use?+

Its 33 tool definitions total 3,353 tokens — 1.7% 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 Claude Faf 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 Claude Faf's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Claude Faf 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 305 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 33 catalogued Claude Faf tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Claude Faf 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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