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The Starknet MCP Server MCP server costs 2,471 tokens before the first call.

Connect Starknet MCP Server and its 25 tool definitions are loaded into the model's context on every request — 1.2% of a 200k window spent before your agent does anything.

QUICK ANSWER The Starknet MCP Server MCP server's tool definitions consume 2,471 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 25 tools · 2,471 tokens · 1.2% of 200k · 0.2% 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 1.2%
1M WINDOW 0.2%

Corpus context: Starknet MCP Server ranks #1426 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 2,471 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 99 tokens per tool.

ToolCategoryTokens% of server
transfer_starknet_token Financial 185 7.5%
execute_starknet_contract Execute 176 7.1%
call_starknet_contract Read 165 6.7%
transfer_starknet_strk Financial 163 6.6%
transfer_starknet_eth Financial 160 6.5%
check_starknet_nft_ownership Read 117 4.7%
get_starknet_nft_balance Read 103 4.2%
get_starknet_token_balance Read 102 4.1%
get_starknet_native_balances Read 99 4.0%
get_starknet_strk_balance Read 94 3.8%
get_starknet_eth_balance Read 91 3.7%
get_starknet_block_transactions Read 86 3.5%
resolve_starknet_name Write 86 3.5%
get_starknet_block Read 85 3.4%
get_starknet_profile Read 85 3.4%
resolve_starknet_address Write 83 3.4%
get_starknet_contract_class Read 80 3.2%
get_starknet_token_supply Read 76 3.1%
check_starknet_transaction_status Read 75 3.0%
get_starknet_token_info Read 74 3.0%
get_starknet_transaction Read 69 2.8%
get_starknet_transaction_receipt Read 69 2.8%
get_starknet_chain_info Read 59 2.4%
validate_starknet_domain Read 55 2.2%
get_supported_starknet_networks Read 34 1.4%

Most agents use a handful of these tools. They pay for all 25.

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 (99 tokens each).

Grant scopeDefinition costReduction
All 25 tools (no gateway) 2,471 tokens
3 granted tools ~297 tokens −88%
5 granted tools ~494 tokens −80%
10 granted tools ~988 tokens −60%

Starknet MCP Server token-cost questions.

How many tokens does the Starknet MCP Server MCP server use?+

Its 25 tool definitions total 2,471 tokens — 1.2% 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 Starknet MCP Server 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 Starknet MCP Server's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Starknet MCP Server 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 297 tokens, a 88% 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 25 catalogued Starknet MCP Server tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Starknet MCP Server 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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