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The FHL Bible MCP server costs 4,585 tokens before the first call.

Connect FHL Bible and its 28 tool definitions are loaded into the model's context on every request — 2.3% of a 200k window spent before your agent does anything.

QUICK ANSWER The FHL Bible MCP MCP server's tool definitions consume 4,585 tokens — 2.4× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 28 tools · 4,585 tokens · 2.3% of 200k · 0.5% 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 2.3%
1M WINDOW 0.5%

Corpus context: FHL Bible ranks #1075 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 4,585 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 164 tokens per tool.

ToolCategoryTokens% of server
search_fhl_articles Read 564 12.3%
get_apocrypha_verse Read 378 8.2%
get_bible_verse Read 278 6.1%
get_bible_footnote Read 275 6.0%
search_bible_advanced Read 272 5.9%
search_bible Read 239 5.2%
lookup_strongs Read 200 4.4%
get_audio_chapter_with_text Read 194 4.2%
list_fhl_article_columns Read 176 3.8%
search_strongs_occurrences Read 168 3.7%
query_verse_citation Read 167 3.6%
get_topic_study Read 165 3.6%
get_audio_bible Read 143 3.1%
get_bible_chapter Read 143 3.1%
get_word_analysis Read 136 3.0%
get_commentary Read 132 2.9%
search_available_versions Read 129 2.8%
search_apostolic_fathers Read 122 2.7%
search_apocrypha Read 116 2.5%
get_apostolic_fathers_verse Read 113 2.5%
search_commentary Read 92 2.0%
list_bible_versions Read 72 1.6%
list_commentaries Read 72 1.6%
get_book_list Read 67 1.5%
get_book_info Read 56 1.2%
list_apostolic_fathers_books Read 42 0.9%
list_apocrypha_books Read 39 0.9%
list_audio_versions Read 35 0.8%

Most agents use a handful of these tools. They pay for all 28.

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 (164 tokens each).

Grant scopeDefinition costReduction
All 28 tools (no gateway) 4,585 tokens
3 granted tools ~491 tokens −89%
5 granted tools ~819 tokens −82%
10 granted tools ~1,638 tokens −64%

FHL Bible MCP token-cost questions.

How many tokens does the FHL Bible MCP server use?+

Its 28 tool definitions total 4,585 tokens — 2.3% 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 FHL Bible MCP 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 FHL Bible MCP's token usage?+

Expose fewer tools. A PolicyLayer grant scopes FHL Bible MCP 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 491 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 28 catalogued FHL Bible MCP tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes FHL Bible MCP 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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