Home / Token cost / Xrploracle

The Xrploracle MCP server costs 2,238 tokens before the first call.

Connect Xrploracle and its 31 tool definitions are loaded into the model's context on every request — 1.1% of a 200k window spent before your agent does anything.

QUICK ANSWER The Xrploracle MCP server's tool definitions consume 2,238 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 31 tools · 2,238 tokens · 1.1% 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 1.1%
1M WINDOW 0.2%

Corpus context: Xrploracle ranks #1497 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 2,238 tokens go.

Each row is one tool definition as a tools/list entry — name, description and input schema — counted with o200k_base. Average: 72 tokens per tool.

ToolCategoryTokens% of server
xrpl_escrow_create Write 166 7.4%
xrpl_path_find Read 136 6.1%
xrpl_quantum_join Read 113 5.0%
xrpl_dex_orderbook Read 102 4.6%
xrpl_ledger_data Read 93 4.2%
xrpl_payment_intel Read 79 3.5%
xrpl_nft_intel Read 77 3.4%
xrpl_compliance_check Read 72 3.2%
xrpl_gateway_balances Read 72 3.2%
xrpl_nft_offers Read 71 3.2%
xrpl_amm_pools Read 68 3.0%
xrpl_escrow_check Read 68 3.0%
xrpl_account_intel Read 67 3.0%
xrpl_server_state Read 67 3.0%
xrpl_trust_lines Read 67 3.0%
xrpl_rlusd_integrity Read 66 2.9%
xrpl_rlusd_supply Read 66 2.9%
xrpl_rwa_scoring Read 65 2.9%
xrpl_rlusd_cci Read 64 2.9%
xrpl_rlusd_webhook Read 64 2.9%
xrpl_rlusd_service Read 62 2.8%
xrpl_rlusd_anchor Read 60 2.7%
xrpl_rlusd_holders Read 57 2.5%
xrpl_beacon_pulse Read 56 2.5%
xrpl_rlusd_enterprise Read 56 2.5%
xrpl_token_check Read 55 2.5%
xrpl_escrow_monitor Read 54 2.4%
xrpl_iso20022 Read 54 2.4%
xrpl_settlement_status Read 54 2.4%
xrpl_rlusd Read 44 2.0%
xrpl_overview Read 43 1.9%

Most agents use a handful of these tools. They pay for all 31.

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 (72 tokens each).

Grant scopeDefinition costReduction
All 31 tools (no gateway) 2,238 tokens
3 granted tools ~217 tokens −90%
5 granted tools ~361 tokens −84%
10 granted tools ~722 tokens −68%

Xrploracle token-cost questions.

How many tokens does the Xrploracle MCP server use?+

Its 31 tool definitions total 2,238 tokens — 1.1% 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 Xrploracle 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 Xrploracle's token usage?+

Expose fewer tools. A PolicyLayer grant scopes Xrploracle 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 217 tokens, a 90% 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 31 catalogued Xrploracle tools. Counts refresh with every site build.

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

A PolicyLayer grant scopes Xrploracle to the tools you actually allow. Ungranted definitions never load, and every call that does run is checked against policy first.

Free to start. No card required.

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

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.