Auxiliar Mcp

io.github.auxiliar-ai由 GitHub 帳號 auxiliar-ai 發布v0.23.0更新於 Nov 3, 2026

Eval-backed discovery for the auxiliar.ai gateway — the best web-access provider per job, measured.

概覽

AI 產生的概覽

本機 stdio MCP 伺服器,依實測基準評分卡,為搜尋、擷取、瀏覽器自動化、語音等任務推薦最合適的網頁存取服務商。

可以做什麼
  • 針對 search、scrape、crawl、extract、screenshot、act 等任務動詞,依品質、延遲、成本等條件推薦排序後的服務商
  • 查看某個動詞的完整排行榜,含原始指標與執行日期
  • 查看單一服務商的完整資訊:路由、定價、選用與避坑建議、附日期的評分卡
  • 說明 auxiliar.ai 閘道是什麼、如何取得金鑰、如何呼叫
  • 回傳推薦服務商的可執行呼叫方式
適用情境
當助理需要在眾多網頁存取 API 之間做選擇,並希望依據公開、附日期的基準資料而非猜測時適用;也適合打算透過 auxiliar.ai 閘道統一呼叫網頁任務的情境。
執行需求
透過 npx 在本機執行(需要 Node.js)。未宣告任何環境變數或請求標頭。基準資料於執行時從 auxiliar.ai 取得,離線時回退至內建快照。實際呼叫推薦的服務商需另行取得 auxiliar.ai API 金鑰。
安裝前請注意
伺服器本身未宣告憑證,但其回傳的呼叫方式以 auxiliar.ai API 金鑰作為 bearer 權杖,用量依各服務商的實際計量價格從閘道額度扣款。推薦結果指向特定商業閘道。基準資料於執行時從遠端檔案載入,排名取決於該來源。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Auxiliar Mcp,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

auxiliar-mcp

Eval-backed tool discovery for AI agents, on the auxiliar.ai web-access gateway — one API key for 24 search, scraping, browser-automation and voice APIs, upstream keys injected server-side, usage at each provider's real metered price.

Ask it "what's the best provider for this job?" and it answers from measured public benchmarks — every provider runs the identical task corpus per verb; scorecards carry their run dates; weak scores are published, not hidden.

Install

bash
claude mcp add auxiliar -- npx auxiliar-mcp

or in any MCP client config:

json
{ "mcpServers": { "auxiliar": { "command": "npx", "args": ["auxiliar-mcp"] } } }

Tools

ToolWhat it does
recommend_toolsBest provider(s) for a job (search, scrape, crawl, extract_ai, extract_rules, answer, screenshot, scrape_domain, act, act_agent, serp, parse, watch), ranked by measured quality/latency/cost/errors. Optional optimize_for, max_latency_ms, max_cost_usd, limit.
get_scorecardThe full leaderboard for one verb — every scored provider, raw metrics, run dates.
get_providerOne provider in full: route, pricing, choose/avoid guidance, all its dated scorecards.
about_auxiliarWhat the gateway is, how to get a key, how to call it.

Every response carries the run date behind each number (measured_on, latest_run), the ranking context (rank #n of m), honest caveats, providers excluded_by_constraints (never silently dropped), and gated_not_scored entries for providers that couldn't be scored on the shared corpora.

Recommendations return an executable call pattern:

https://api.auxiliar.ai/{provider}/{provider-native-path}Authorization: Bearer <your auxiliar API key>

Same paths, parameters and responses as each provider's own docs — the gateway injects the upstream key server-side. Get a key (with $5 free credit, no card) at auxiliar.ai.

Where the data comes from

Benchmark data loads at runtime from auxiliar.ai/evals.json (1h in-memory cache) and falls back to a bundled snapshot offline — responses declare which via data_source. The same data renders the human-readable scorecards at auxiliar.ai/tools. Rankings carry no house incentive: the gateway's fee is flat at credit top-up, so nothing is earned by steering you toward pricier providers.

Development

bash
npm installnpm run build         # tsc → dist/ (+ bundled data snapshot)npm test              # unit tests + end-to-end stdio round-tripnpm run update-fallback  # refresh src/data/evals-fallback.json from production

Releasing: bump the version in package.json and server.json (two spots) — npm run check-versions (run automatically at prepublish) enforces sync — then npm publish and mcp-publisher publish.

Roadmap

  • v0.23 (this release) — eval-backed discovery.
  • v1.0 — in-loop execution: call the providers through the gateway from this MCP (web_search, scrape, extract, crawl, …), routed by the same measured rankings.

License

MIT

來源:README.md,提交 42cdcaa

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v0.23.0最新Sep 16, 2026

評分

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