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The Indigo MCP server costs 6,678 tokens before the first call.

Connect Indigo and its 59 tool definitions are loaded into the model's context on every request — 3.3% of a 200k window spent before your agent does anything.

QUICK ANSWER The Indigo MCP server's tool definitions consume 6,678 tokens — 3.5× the median MCP server (1,905 tokens). A scoped grant exposing only the tools you use cuts that roughly in proportion.

MEASURED FROM SCHEMAS 59 tools · 6,678 tokens · 3.3% of 200k · 0.7% 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 3.3%
1M WINDOW 0.7%

Corpus context: Indigo ranks #917 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 6,678 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 113 tokens per tool.

ToolCategoryTokens% of server
redeem_rob Read 306 4.6%
adjust_sp_account Read 216 3.2%
redeem_cdp Read 212 3.2%
adjust_rob Write 201 3.0%
mint_cdp Read 196 2.9%
burn_cdp Read 190 2.8%
merge_cdps Write 190 2.8%
distribute_staking_rewards Read 188 2.8%
process_sp_request Read 184 2.8%
deposit_cdp Financial 178 2.7%
withdraw_cdp Financial 177 2.7%
liquidate_cdp Read 177 2.7%
open_rob Write 176 2.6%
freeze_cdp Read 173 2.6%
leverage_cdp Read 172 2.6%
adjust_staking_position Destructive 167 2.5%
close_cdp Write 160 2.4%
open_cdp Write 158 2.4%
create_sp_account Write 153 2.3%
close_staking_position Write 138 2.1%
annul_sp_request Destructive 134 2.0%
close_sp_account Write 134 2.0%
claim_rob Read 131 2.0%
cancel_rob Destructive 128 1.9%
get_all_cdps Read 108 1.6%
get_steelswap_estimate Read 108 1.6%
open_staking_position Write 108 1.6%
get_iris_liquidity_pools Read 98 1.5%
get_staking_positions_by_owner Read 94 1.4%
get_cdps_by_owner Read 93 1.4%
get_sp_account_by_owner Read 92 1.4%
get_order_book Read 90 1.3%
get_cdps_by_address Read 85 1.3%
get_apr_by_key Read 83 1.2%
get_redemption_queue Read 82 1.2%
analyze_cdp_health Read 81 1.2%
get_redemption_orders Read 80 1.2%
get_asset_price Read 76 1.1%
get_blockfrost_balances Read 75 1.1%
get_stability_pool_accounts Read 75 1.1%
get_staking_position_by_address Read 74 1.1%
get_asset Read 73 1.1%
retrieve_from_ipfs Read 69 1.0%
get_collector_utxos Read 68 1.0%
store_on_ipfs Read 68 1.0%
get_stability_pools Read 63 0.9%
get_staking_info Read 58 0.9%
get_steelswap_tokens Read 50 0.7%
get_indy_price Read 49 0.7%
get_dex_yields Read 48 0.7%
get_tvl Read 47 0.7%
get_assets Read 46 0.7%
get_ada_price Read 45 0.7%
get_staking_positions Read 45 0.7%
get_apr_rewards Read 43 0.6%
get_protocol_params Read 42 0.6%
get_polls Read 41 0.6%
get_protocol_stats Read 41 0.6%
get_temperature_checks Read 41 0.6%

Most agents use a handful of these tools. They pay for all 59.

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 (113 tokens each).

Grant scopeDefinition costReduction
All 59 tools (no gateway) 6,678 tokens
3 granted tools ~340 tokens −95%
5 granted tools ~566 tokens −92%
10 granted tools ~1,132 tokens −83%

Indigo token-cost questions.

How many tokens does the Indigo MCP server use?+

Its 59 tool definitions total 6,678 tokens — 3.3% 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 Indigo 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 Indigo's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Indigo 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 340 tokens, a 95% 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 59 catalogued Indigo tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Indigo 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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