Signal Lab: free data for trading and AI agents

io.github.QDThead由 GitHub 账号 QDThead 发布v1.3.0更新于 Oct 30, 2026

搜索并导出自由市场、宏观、天气、新闻和OSINT数据源,附带术语和技能。

AI 翻译由 AI 模型根据下方的原文描述翻译,可能有误。

原文描述

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

已验证Streamable HTTP可网页运行金融数据与分析

概览

Signal Lab: free data for trading and AI agents 的托管 MCP 服务(signal-lab-jet.vercel.app);无需登录;Streamable HTTP;8 个工具。

暂无 AI 概览:以下信息来自注册中心条目和服务本身。

端点
signal-lab-jet.vercel.app
最近检查

安装

在 SourceWeft 中

  1. 打开 控制台中的 Signal Lab: free data for trading and AI agents,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.QDThead%2Fsignal-lab/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "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.

输入参数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.

输入参数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.

输入参数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.

无需输入参数。

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.

无需输入参数。

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.

输入参数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.

输入参数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.

输入参数slug

版本历史

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

评分

已满足适用检查项的 83%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分
  • 文档15 分

    请声明包含 README 的 GitHub 仓库,或在 OAuth 受保护资源元数据中提供 resource_documentation。

  • 许可证不适用

    托管服务按其提供方的条款使用,因此这里不要求许可证。此检查项不计入百分比。