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The Pred MCP server costs 6,274 tokens before the first call.

Connect Pred and its 43 tool definitions are loaded into the model's context on every request — 3.1% of a 200k window spent before your agent does anything.

QUICK ANSWER The PredMCP MCP server's tool definitions consume 6,274 tokens — 3.3× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 43 tools · 6,274 tokens · 3.1% of 200k · 0.6% 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 3.1%
1M WINDOW 0.6%

Corpus context: Pred ranks #948 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 6,274 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 146 tokens per tool.

ToolCategoryTokens% of server
get_signal_backtest Read 358 5.7%
get_orderbook_depth Read 244 3.9%
get_conviction_score Read 215 3.4%
get_portfolio_risk Read 196 3.1%
explain_signal Read 192 3.1%
get_whale_convergence Read 191 3.0%
get_setup_quality Read 186 3.0%
get_recent_news Read 184 2.9%
get_cex_outflows Read 181 2.9%
get_markets Read 178 2.8%
get_whale_positions Read 172 2.7%
get_upcoming_catalysts Read 169 2.7%
get_pm_hl_divergences Read 159 2.5%
get_social_velocity Read 159 2.5%
get_markets_near_resolution Read 155 2.5%
get_late_game_sports Read 153 2.4%
get_news_correlation Read 150 2.4%
get_funding_outliers Read 149 2.4%
get_top_funding_rates Read 147 2.3%
get_volume_spikes Read 145 2.3%
get_odds Read 142 2.3%
get_whale_trades Read 140 2.2%
search_markets Read 137 2.2%
get_hip4_vs_pm_arb Read 136 2.2%
get_market_context Read 129 2.1%
get_options_iv Read 127 2.0%
get_signals Read 125 2.0%
get_open_interest Read 117 1.9%
get_price_summary Read 117 1.9%
get_funding_curve_anomaly Read 115 1.8%
get_funding_rates Read 115 1.8%
get_funding_momentum Read 112 1.8%
get_movers Read 111 1.8%
get_liquidation_clusters Read 108 1.7%
get_hl_funding_pm_correlation Read 107 1.7%
get_simple_iv Read 107 1.7%
create_api_key Write 106 1.7%
get_whale_label Read 105 1.7%
get_macro_context Read 95 1.5%
get_orderbook Read 94 1.5%
get_basic_macro Read 92 1.5%
get_macro_liquidity Read 82 1.3%
get_oi_near_cap Read 72 1.1%

Most agents use a handful of these tools. They pay for all 43.

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 (146 tokens each).

Grant scopeDefinition costReduction
All 43 tools (no gateway) 6,274 tokens
3 granted tools ~438 tokens −93%
5 granted tools ~730 tokens −88%
10 granted tools ~1,459 tokens −77%

PredMCP token-cost questions.

How many tokens does the Pred MCP server use?+

Its 43 tool definitions total 6,274 tokens — 3.1% 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 PredMCP 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 PredMCP's token usage?+

Expose fewer tools. A PolicyLayer grant scopes PredMCP 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 438 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 43 catalogued PredMCP tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes PredMCP 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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