Etuki FinOps & LLM Pricing Oracle
Cryptographic 563-leaf LLM rate oracle, context-cliff auditor, and prompt cache optimizer.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"etuki-finops-mcp": {
"url": "https://www.etuki.com/api/v1/mcp"
}
}
}Remote endpoints
https://www.etuki.com/api/v1/mcpstreamable-httpWhat it can do
Tool inventory
Tools (4)
🟢check_context_cliff(model, prompt_tokens, completion_tokens, request_id, cold_start_cache_write, ...)
Check one LLM request's token counts against a pricing snapshot and return a deterministic decision: allow, pre-cliff warning, hard-cliff reroute, or budget-gate block, with estimated costs and a cheaper fallback model where one exists. Estimates only, not billing. Receives model name and token counts only, never prompt content.
Input Schema
{
"type": "object",
"properties": {
"model": {
"type": "string",
"description": "Model ID from list_supported_models (gpt-6-1-sol, claude-haiku-5-5, claude-sonnet-5-5, claude-opus-5-5, gpt-6-luna)"
},
"prompt_tokens": {
"type": "integer",
"minimum": 0,
"maximum": 9007199254740991
},
"completion_tokens": {
"type": "integer",
"minimum": 0,
"maximum": 9007199254740991
},
"request_id": {
"type": "string",
"maxLength": 64,
"pattern": "^[a-zA-Z0-9_-]{1,64}$",
"description": "Optional trace ID (1..64 alphanumeric/underscore/hyphen chars)."
},
"cold_start_cache_write": {
"type": "boolean",
"default": false
},
"allow_async_batch": {
"type": "boolean",
"default": true
},
"budget_gate_usd": {
"type": "number",
"minimum": 0,
"default": 0.06
},
"cache_hit_rate": {
"type": "number",
"minimum": 0,
"maximum": 1,
"default": 0.4
},
"routed_cache_hit_rate": {
"type": "number",
"minimum": 0,
"maximum": 1
},
"retry_rate": {
"type": "number",
"minimum": 0,
"maximum": 1,
"default": 0.05
},
"pass_rate": {
"type": "number",
"exclusiveMinimum": 0,
"maximum": 1,
"default": 0.96
}
},
"required": [
"model",
"prompt_tokens",
"completion_tokens"
],
"additionalProperties": false
}🟢list_supported_models
Return the 5 deterministic cliff-engine models supported by check_context_cliff along with their input/output rates, cache rates, cliff token thresholds, soft-block thresholds, fallback targets, pricing_snapshot_id, and Merkle root.
Input Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟢etuki_search_models(query)
Search and filter across all 563 Merkle-committed LLM API and cloud infrastructure entities in the Etuki catalog by keyword.
Input Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Model or vendor keyword (e.g. gpt-6.1, claude, gemini, deepseek, hunyuan)"
}
},
"additionalProperties": false
}🟢etuki_get_audit_evidence
Retrieve the cryptographic snapshot metadata (Merkle root, RS256 public key URL, snapshot date, and 12/12 CI self-test reference) for the current pricing snapshot.
Input Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}Community
Evidence