
TokenOracle
com.guffeyholdings由 guffeyholdings.com 發布官方發布者v1.0.1更新於 Oct 24, 2026
Hosted MCP server for LLM cost estimation, model comparison, and budget-aware routing.
概覽
TokenOracle 是託管的 MCP 伺服器,可在代理消耗 token 之前估算、比較並規劃 LLM API 成本。
- 可以做什麼
- 估算單次 LLM 呼叫或最多 100 個任務批次的美元成本,並提供建議模型與上下文容量判斷。依價格、速度等級與品質等級比較並排序各供應商的模型,可依品質、成本和供應商篩選。對照每月預算檢查預定任務,並找出符合指定預算上限的最便宜模型。檢視預算狀態、請求活動、用量摘要和用量排行榜。讀取伺服器中繼資料、模型 ID、token 啟發式規則和價格變更記錄等資源,並使用引導式成本分析提示範本。
- 適用情境
- 適合代理規劃多步驟或大批量 LLM 任務、希望在花錢前取得成本估算和更便宜模型替代方案的情境。也適合依 API 金鑰追蹤每月預算支出的團隊。
- 執行需求
- 遠端 streamable-HTTP 端點,或以 npx 執行 npm 橋接套件 token-oracle-mcp(需要 Node.js)。需要託管 API 金鑰,透過 X-API-Key 標頭或 TOKEN_ORACLE_API_KEY 環境變數傳入;可選 TOKEN_ORACLE_BASE_URL 與 TOKEN_ORACLE_SUBJECT。需要連線至託管服務的網路。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 TokenOracle,將其新增到工作區。
- 連接 Custom headers 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
交給代理程式安裝
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/com.guffeyholdings%2Ftoken-oracle/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。
{
"mcpServers": {
"tokenoracle": {
"type": "http",
"url": "https://mcp.guffeyholdings.com/TokenOracle",
"headers": {
"X-API-Key": "<VALUE>",
"X-Token-Oracle-Subject": "<VALUE>"
}
}
}
}README
THIS REPO IS ARCHIVED AND THE SERVICE HAS BEEN SHUTDOWN
TokenOracle MCP
Token Oracle is a Model Context Protocol (MCP) server that estimates, compares, and controls LLM API costs before agents spend tokens. It exposes nine tools, four read-only Resources, and a cost_analysis_workflow Prompt template. It uses a proprietary pricing algorithm without a backing LLM to ensure deterministic budget workflows.
Designed to work with agent swarms backing one or zero employee companies, Token Oracle acts as a tiny CFO within your OpenClaw swarm keeping spend down and making suggestions to improve promptings.
Save them tokens, call Token Oracle today!
MCP tools exposed:
estimate_cost— Estimates the USD cost of a single LLM API call before execution. Input: task_description, prompt_text, task_type, or explicit token_count. Output: cost_usd, recommended_model, confidence, will_fit_context, pricing_updated. Annotations: readOnlyHint:true, idempotentHint:true, openWorldHint:false.estimate_cost_batch— Prices up to 100 LLM tasks in a single call. Returns per-task breakdown, total_cost_usd, and cheapest_model_for_all. Use before starting any multi-step pipeline.compare_models— Ranks LLM pricing across all supported providers for a given task. Returns models sorted by cost with speed_tier and quality_tier. Supports filtering by min_quality, max_cost_usd, and provider. Input: task_type, token_count, or prompt_text.budget_check— Checks whether a planned task fits within a monthly budget. Returns can_proceed (boolean), remaining_budget_usd, budget_consumed_pct, and cheaper_alternatives with savings_pct. Input: monthly_budget_usd, current_spend_usd, and task description.find_cheapest_for_budget— Inverse of budget_check. Given a budget_usd cap and task, returns the best model/quality combination within budget plus all alternatives ranked by quality then cost.
MCP Resources exposed:
token-oracle://meta— Machine-readable server capability document (version, model_count, pricing metadata)token-oracle://models— Model IDs with metadata for discovery and validationtoken-oracle://heuristics— Task-type token heuristics and keyword classifier patterns (auditable)token-oracle://pricing/changelog— Append-only log of pricing changes; use to detect pricing updates over time
MCP Prompt exposed:
cost_analysis_workflow— Guided three-step prompt template: estimate_cost → compare_models → budget_check. Arguments: task_description, monthly_budget_usd (optional), quality_threshold (optional).
Supported providers: Anthropic, OpenAI, Google, Groq, Together AI, Mistral, DeepSeek, Cohere (100+ models).
Canonical agent workflow example: Goal: Run 500 product description generation tasks. Budget $50/mo, current spend $43.
- estimate_cost_batch({ tasks: [{ task_type: "generate", token_count: { input: 200, output: 800 }, quantity: 500 }] }) → total_cost_usd: $0.60
- compare_models({ token_count: { input: 200, output: 800 }, task_type: "generate", min_quality: "med", max_cost_usd: 0.002 }) → deepseek-v3 at $0.00035/task ($0.175 total) — 71% cheaper, same quality tier
- budget_check({ monthly_budget_usd: 50, current_spend_usd: 43, token_count: { input: 200, output: 800 }, model: "deepseek-v3" }) → can_proceed: true, remaining: $6.825, budget_consumed_pct: 2.4% Decision: Use deepseek-v3. Save $0.425 vs gpt-4o-mini.
Pricing:
- Free: 1000 API calls/day, all hosted tools via the remote endpoint, no credit card
- Pro ($29/mo): Unlimited calls, track_spend tool (persisted cost ledger per API key), priority throughput, spend attribution per agent/task/session
Contact: [email protected]
Hosted endpoint
- Canonical remote MCP URL:
https://mcp.guffeyholdings.com/TokenOracle - Canonical MCP name:
com.guffeyholdings/token-oracle
Direct remote configuration:
npm bridge package
For local clients that still expect an npm-installed stdio server, use token-oracle-mcp.
Zero-input trial flow:
Start the bridge with no API key and, when the hosted service has trial auth enabled, it will automatically fetch and store a metered trial credential on first launch.
One-time explicit login flow:
With --api-key, that validates and stores a paid hosted API key. Without --api-key, it requests and stores a hosted trial credential instead. After either flow, the MCP config does not need to inject TOKEN_ORACLE_API_KEY.
If you prefer stateless setup, keep passing TOKEN_ORACLE_API_KEY as an environment variable instead.
Hosted trial behavior:
- Trial credentials are metered and capped server-side
- Once the hosted trial request limit is reached, the service returns an upgrade-required response
- The hosted service reuses the same still-valid trial credential for the same claimant instead of minting a fresh token each time
- Trial issuance is separately throttled and can be blocked by server-side abuse risk scoring
- Later, a hosted upgrade flow can replace the stored trial credential with a paid credential without changing MCP config
Optional bridge environment variables:
TOKEN_ORACLE_API_KEY: optional hosted API key; overrides any stored credentialTOKEN_ORACLE_BASE_URL: override for the remote endpoint; defaults tohttps://mcp.guffeyholdings.com/TokenOracleTOKEN_ORACLE_SUBJECT: optional end-user subject forwarded asX-Token-Oracle-Subject
Additional bridge commands:
npx -y token-oracle-mcp login: accept--api-keyfor paid auth, or fetch a hosted trial credential when no key is suppliednpx -y token-oracle-mcp logout: remove locally stored credentials
Capabilities
Tools:
estimate_costestimate_cost_batchcompare_modelsbudget_checkfind_cheapest_for_budgetget_budget_statuslist_request_activityget_usage_summaryget_usage_leaderboard
Resources:
token-oracle://metatoken-oracle://modelstoken-oracle://heuristicstoken-oracle://pricing/changelog
Prompts:
cost_analysis_workflow
Versioning
- Hosted service version:
1.0.6 - Bridge package version:
1.0.6
來源:README.md,提交 f55e2ff
工具
0版本歷史
1- v1.0.1最新Sep 16, 2026
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