Signal Lab: free data for trading and AI agents

io.github.QDThead由 GitHub 帳號 QDThead 發布v1.3.0更新於 Oct 30, 2026

搜尋並匯出自由市場、宏觀、天氣、新聞和OSINT資料來源,附帶術語和技能。

AI 翻譯由 AI 模型根據下方的原文描述翻譯,可能有誤。

原文描述

Search and export free market, macro, weather, news and OSINT data sources, with terms and skills.

已驗證Streamable HTTP可網頁執行金融資料與分析

概覽

Signal Lab: free data for trading and AI agents 的託管 MCP 服務(signal-lab-jet.vercel.app);無需登入;Streamable HTTP;8 個工具。

暫無 AI 概覽:以下資訊來自註冊中心條目和服務本身。

端點
signal-lab-jet.vercel.app
最近檢查

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Signal Lab: free data for trading and AI agents,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。

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/io.github.QDThead%2Fsignal-lab/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。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。

{
  "mcpServers": {
    "signal-lab-free-data-for-trading-and-ai": {
      "type": "http",
      "url": "https://signal-lab-jet.vercel.app/api/mcp"
    }
  }
}

工具

8

search_catalog

Search the catalog

Find free and free-to-start data sources (financial markets, global macro, weather, news & RSS, OSINT), tools and models in the Signal Lab catalog by text and by filters (domain, category, type, access badge, sign-up needed, license, task, verified, verified_since; see list_filters for the values). Returns up to 25 summary rows in name order, each with lastVerified and sitePageUrl. Use get_entry for every field of one entry, export_catalog for the whole list, get_source_urls for provider and terms links.

輸入參數authtasktypebadgelimitquerydomainlicensecategoryverifiedverified_since

get_entry

Get one entry

Return one catalog entry by slug, with every field the catalog has for it (limits, coverage, auth, license, licenseNote, source URLs, lastVerified). Get slugs from search_catalog.

輸入參數slug必填

compare_entries

Compare entries

Place the catalog's fields for up to 5 entries side by side. Values are the catalog's own; a field the catalog does not have shows Not in catalog.

輸入參數slugs必填

list_filters

List filter values

List the values the catalog uses for type, badge, auth, category, domain, license, task, verified and lastVerified, with how many entries have each. Call this first to pick exact filter values.

無需輸入參數。

catalog_info

Catalog information

Return the catalog's notice, schemaVersion, generated time, entry count and the download URLs of the full catalog as JSON and CSV.

無需輸入參數。

export_catalog

Export the data list

Export the Signal Lab catalog as JSON or CSV: every entry, or only those matching the same filters as search_catalog (no result cap). Optional fields picks columns by catalog field name. CSV has a header row, joins lists with "; " and repeats the catalog notice in the last column. Also returns the static download URLs.

輸入參數authtasktypebadgequerydomainfieldsformatlicensecategoryverifiedverified_since

get_source_urls

Get original source and terms URLs

Return where each entry's data comes from: the provider's site, docs and evidence pages, the license or terms URL with the license note, and the lastVerified date, plus the Signal Lab page. Pass up to 25 slugs, or the same filters as search_catalog (all entries if none). A URL the catalog does not record is left out.

輸入參數authtasktypebadgequeryslugsdomainlicensecategoryverifiedverified_since

get_ingestion_skill

Get an ingestion skill

Return the agent-ready ingestion skill for one data source as markdown: how to get access, the exact request or download, the response format, a Python snippet that loads it into pandas and writes Parquet (or keeps it in memory where the provider's terms limit storage or leave it unclear), limits, known quirks, terms and attribution, and the provider pages it was written from, with quotes. Call it without a slug to list the sources that have a skill so far.

輸入參數slug

版本歷史

2
  1. v1.3.0最新Oct 30, 2026
  2. v1.2.1Oct 30, 2026

評分

已滿足適用檢查項的 83%

該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。

  • 近 30 天內可連通必需25 分
  • 已宣告認證方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 圖示10 分
  • 文件15 分

    請宣告包含 README 的 GitHub 儲存庫,或在 OAuth 受保護資源後設資料中提供 resource_documentation。

  • 授權條款不適用

    託管服務按其提供方的條款使用,因此這裡不要求授權條款。此檢查項不計入百分比。