// MCP TOKEN COST

The Agent Einstein — Autonomous Crypto Intelligence MCP server costs 12,114 tokens before the first call.

Connect Agent Einstein — Autonomous Crypto Intelligence and its 72 tool definitions are loaded into the model's context on every request — 6.1% of a 200k window spent before your agent does anything.

QUICK ANSWER The Agent Einstein — Autonomous Crypto Intelligence MCP server's tool definitions consume 12,114 tokens — 6.4× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 72 tools · 12,114 tokens · 6.1% of 200k · 1.2% of 1M Method →

// CONTEXT WINDOW SHARE

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 6.1%

1M WINDOW 1.2%

Corpus context: Agent Einstein — Autonomous Crypto Intelligence ranks #131 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.

// PER-TOOL BREAKDOWN

Where the 12,114 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 168 tokens per tool.

Tool	Category	Tokens	% of server
top_gainers_comprehensive	Read	331	2.7%
altcoin_season_index	Read	272	2.2%
einstein_trade_signals	Read	259	2.1%
agent_context	Read	241	2.0%
chart_forecast	Read	240	2.0%
optimize_strategy_params	Execute	237	2.0%
strategy_allocation_recommendation	Execute	224	1.8%
backtest_strategy	Execute	223	1.8%
regime_classification	Read	223	1.8%
portfolio_risk_allocation	Read	209	1.7%
wallet_pnl	Read	202	1.7%
mindyield_vaults_list	Read	201	1.7%
strategy_gate	Read	200	1.7%
mempool_watch	Read	198	1.6%
yield_discover	Read	194	1.6%
mindyield_yield_vault_deposit	Financial	190	1.6%
approval_security_scan	Read	190	1.6%
mindyield_integrity_deep_scan	Read	190	1.6%
pqc_wallet_scan	Read	186	1.5%
mindyield_content_judge	Read	185	1.5%
polymarket_longshot_fader	Read	182	1.5%
yield_deposit	Financial	179	1.5%
claimable_airdrops	Read	178	1.5%
forgotten_assets_scan	Read	176	1.5%
smart_money	Read	174	1.4%
pqc_readiness_assessment	Read	166	1.4%
einstein_meta_strategy	Read	165	1.4%
quantum_wallet_generation	Read	164	1.4%
crqc_proximity_benchmark	Execute	161	1.3%
pqc_migration_planner	Write	159	1.3%
quantum_hardware_qrng	Read	157	1.3%
yield_rebalance	Read	157	1.3%
polymarket_insider_scan	Read	156	1.3%
hyperliquid_smart_money	Read	155	1.3%
polymarket_spread_analysis	Read	155	1.3%
quantum_portfolio_monitor	Read	153	1.3%
token_sniping	Read	153	1.3%
bitcoin_mempool_intelligence	Read	152	1.3%
pendle_yield_trading	Read	152	1.3%
security_scan	Read	151	1.2%
bitcoin_bridge_comparison	Read	150	1.2%
quantum_signing_key	Read	150	1.2%
bitcoin_staking_analysis	Read	148	1.2%
holder_concentration	Read	148	1.2%
polymarket_arbitrage	Read	147	1.2%
polymarket_conviction	Read	147	1.2%
quantum_encryption_key	Read	147	1.2%
wallet_trust_score	Read	147	1.2%
brc20_analytics	Read	146	1.2%
polymarket_markets	Read	146	1.2%
runes_analytics	Read	146	1.2%
technical_analysis	Read	146	1.2%
flashloan_opportunities	Read	145	1.2%
bitcoin_onchain_analytics	Read	144	1.2%
mindyield_leaderboard	Read	143	1.2%
wallet_portfolio	Read	143	1.2%
strategy_backtest	Read	142	1.2%
cross_chain_arbitrage	Read	141	1.2%
copy_trading_leaderboard	Write	140	1.2%
defi_yield_analysis	Read	139	1.1%
smart_contract_audit	Read	139	1.1%
arbitrage_scanner	Read	138	1.1%
liquidation_monitor	Read	137	1.1%
pump_fun_launches	Read	137	1.1%
top_gainers	Read	137	1.1%
mev_protection	Read	136	1.1%
copy_trading_intel	Write	136	1.1%
zora_launches	Read	135	1.1%
whale_tracking	Read	133	1.1%
market_movers	Read	130	1.1%
mev_detection	Read	130	1.1%
general_analysis	Write	81	0.7%

// SCOPED GRANT

Most agents use a handful of these tools. They pay for all 72.

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 (168 tokens each).

Grant scope	Definition cost	Reduction
All 72 tools (no gateway)	12,114 tokens	—
3 granted tools	~505 tokens	−96%
5 granted tools	~841 tokens	−93%
10 granted tools	~1,683 tokens	−86%

Model your own stack in the token-cost calculator, or see the Agent Einstein — Autonomous Crypto Intelligence policy for what a sensible grant looks like.

//FAQ

Agent Einstein — Autonomous Crypto Intelligence token-cost questions.

How many tokens does the Agent Einstein — Autonomous Crypto Intelligence MCP server use?+

Its 72 tool definitions total 12,114 tokens — 6.1% 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 Agent Einstein — Autonomous Crypto Intelligence 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 Agent Einstein — Autonomous Crypto Intelligence's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Agent Einstein — Autonomous Crypto Intelligence 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 505 tokens, a 96% 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.

// METHOD & REVIEW

How these numbers were measured.

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.

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.

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 72 catalogued Agent Einstein — Autonomous Crypto Intelligence tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Agent Einstein — Autonomous Crypto Intelligence to the tools you actually allow. Ungranted definitions never load, and every call that does run is checked against policy first.

SCOPE YOUR GRANT →

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