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The SparkForge MCP server costs 2,716 tokens before the first call.

Connect SparkForge and its 33 tool definitions are loaded into the model's context on every request — 1.4% of a 200k window spent before your agent does anything.

QUICK ANSWER The SparkForge MCP server's tool definitions consume 2,716 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 · 2,716 tokens · 1.4% 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 1.4%
1M WINDOW 0.3%

Corpus context: SparkForge ranks #1358 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 2,716 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 82 tokens per tool.

ToolCategoryTokens% of server
generate_image Write 188 6.9%
take_screenshot Read 128 4.7%
store_data Read 113 4.2%
image_resize Write 111 4.1%
generate_meme Write 108 4.0%
resize_image Write 106 3.9%
convert_format Write 103 3.8%
btc_signal Read 101 3.7%
text_to_speech Read 99 3.6%
generate_qr_code Write 96 3.5%
write_tweet Write 93 3.4%
extract_structured Read 90 3.3%
smart_summarize Read 89 3.3%
crypto_news_summary Read 87 3.2%
summarize_text Read 87 3.2%
get_crypto_price Read 82 3.0%
site_crawl Read 81 3.0%
generate_video Write 77 2.8%
code_review Read 75 2.8%
web_search Read 75 2.8%
wallet_analysis Read 74 2.7%
html_to_markdown Read 69 2.5%
validate_json Read 67 2.5%
token_research Read 63 2.3%
scrape_webpage Read 61 2.2%
pdf_to_markdown Read 58 2.1%
get_url_metadata Read 56 2.1%
text_diff Read 55 2.0%
detect_language Read 51 1.9%
ocr Read 49 1.8%
check_domain Read 47 1.7%
verify_email Read 42 1.5%
list_services Read 35 1.3%

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 (82 tokens each).

Grant scopeDefinition costReduction
All 33 tools (no gateway) 2,716 tokens
3 granted tools ~247 tokens −91%
5 granted tools ~412 tokens −85%
10 granted tools ~823 tokens −70%

SparkForge token-cost questions.

How many tokens does the SparkForge MCP server use?+

Its 33 tool definitions total 2,716 tokens — 1.4% 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 SparkForge 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 SparkForge's token usage?+

Expose fewer tools. A PolicyLayer grant scopes SparkForge 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 247 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 SparkForge tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes SparkForge 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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