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Sugra MCP

作者:Sugra-Systems版本 0.14.1i★ –i电脑或云端
注册名称ai.sugra/api-mcp

安装

概览

作者提供的说明(英文原文)

Connect AI agents to primary sources - markets, macro, news, earth, network, entities and research.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 电脑或云端
  • 传输方式: stdio, Streamable HTTP
  • 分类: 搜索与 AI 记忆
  • 你需要填写:SUGRA_API_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • 在云端运行无需安装任何东西,通过互联网连接
  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://mcp.sugra.ai/mcp

或者在你的电脑上运行

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "api": {
      "command": "uvx",
      "args": [
        "sugra-api-mcp"
      ],
      "env": {
        "SUGRA_API_KEY": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http api https://mcp.sugra.ai/mcp

或者在你的电脑上运行

claude mcp add api --env SUGRA_API_KEY=your-value -- uvx sugra-api-mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "api": {
      "url": "https://mcp.sugra.ai/mcp"
    }
  }
}

或者在你的电脑上运行

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "api": {
      "command": "uvx",
      "args": [
        "sugra-api-mcp"
      ],
      "env": {
        "SUGRA_API_KEY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "api": {
      "type": "http",
      "url": "https://mcp.sugra.ai/mcp"
    }
  }
}

或者在你的电脑上运行

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "api": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "sugra-api-mcp"
      ],
      "env": {
        "SUGRA_API_KEY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://mcp.sugra.ai/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • SUGRA_API_KEY 机密 必填 env
    Your Sugra API key (sugra_...). Required for data tools; catalog tools work without it. Free key: https://app.sugra.ai/register (50 req/day). Only env var needed for local installs and directory sand…

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月6日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。

  • sugra_entity_screen

    Screen a person or organization name against the Sugra sanctions corpus. Returns a SCREENING SIGNAL, not a compliance determination. Sugra is a technology provider, not a sanctions authority or consumer reporting agency. PEP and adverse-media coverage is supplementary and non-com

  • sugra_entity_lookup

    Resolve an entity by identifier and return its composed KYB envelope. `anchor` is `lei` (Legal Entity Identifier, resolved via the GLEIF registry) or `vat` (EU VAT number, validated via the EU VIES service). The result weaves identity, a sanctions screening signal, and - on reque

  • search_endpoints

    Search the bundled Sugra endpoint catalog by natural-language query. Use this to pick an operation_id. It does not fetch data. Typical loop: 1. search_endpoints(query) -> ranked hits with required_parameters 2. describe_endpoint(operation_id) -> params, request_body_schema, agent

  • describe_endpoint

    Describe one Sugra API endpoint by operation_id. Includes agent_hints (duration_class fast/slow/heavy, max_concurrency, bulk billing) so you can budget timeouts and parallelism before calling. POST endpoints with a JSON body also carry request_body_schema (the resolved JSON schem

  • call_endpoint

    Call a Sugra API endpoint by operation_id from the bundled catalog. Plan calls with describe_endpoint's agent_hints: duration_class "fast" usually responds in under ~2s, "slow" usually 1-5s and occasionally 15s+ on a cold upstream, "heavy" can exceed the gateway timeout - keep pa

  • list_toolsets

    List catalog groups with endpoint counts and short descriptions. Use the group names as the toolset filter on search_endpoints. This does not call the Sugra API; it reads the bundled catalog.

  • fetch_data

    One-step fetch: find the best Sugra endpoint for the query and call it. Combines search_endpoints + call_endpoint into a single round trip. Use this when you want data without manually picking an operation_id. The full search_endpoints + describe_endpoint + call_endpoint dance is

  • list_sources

    List source families in the bundled catalog with endpoint counts. Use the family names as the source filter on search_endpoints. This does not call the Sugra API.

  • resolve_entity

    Resolve free text to a canonical market or macro entity. Turns a ticker, company name, macro indicator, coin, or currency pair into the agent plane's ``{namespace, ids}`` entity for use with get_snapshot and get_timeseries. A cross-namespace collision (e.g. a ticker that is both

  • get_snapshot

    Composed current view of an entity via a named recipe. Executes a fixed server-side recipe (company_snapshot, etf_snapshot, quote_snapshot, macro_indicator_snapshot, macro_calendar, earnings_snapshot, debt_snapshot) and returns one envelope with freshness, provenance, per-compone

  • get_timeseries

    Bounded timeseries for an entity: price, macro_series, etf_flows or etf_monthly_flows. Returns points oldest-first with an explicit downsampling flag when the raw series exceeded max_points. Times are UTC. Costs 1 unit per call. Read the step from ``served_granularity``, not ``gr

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 sugra.ai 验证(注册中心会核实域名所有权)

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • ✓ 通过

    端点有响应

    在 736 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • ✓ 通过

    工具描述中没有隐藏指令

    已读取 11 个工具描述,未发现针对 AI 的隐藏指令

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7243 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7243 个服务器的 96% 更新
  • 基础检查结果等于或优于此分类中其他 7243 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Sugra MCP 安全吗?

它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:SUGRA_API_KEY

它在我的电脑上运行还是在云端?

两种方式都可以:安装在你的电脑上,或者连接云端版本。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.14.1)于昨天进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT3天前更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT20天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT44天前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Sugra MCP

Connect AI agents to primary sources - markets, macro, news, earth, network, entities and research.

Website · Documentation · Videos · Blog · Free API key

Sugra MCP is built and run by Sugra Systems, Inc. It brings Sugra Data into AI assistants and agents over the Model Context Protocol: 1,600+ endpoints from 200 primary sources across 36 data domains - central banks, national statistics offices, regulators, intergovernmental bodies and more. The agent searches the catalog, reads an endpoint's description and calls it, and every answer carries its source and date.

Published in Anthropic's Connectors Directory, the OpenAI Plugins Directory and the GitHub MCP Registry. Works with Claude, Claude Code, ChatGPT, Codex, Grok, Cursor, Antigravity, GitHub Copilot, VS Code, Zed, Cline, Continue and any MCP client.

Watch: How Sugra MCP works · Seven directions, one key

Seven directions

DirectionWhat an agent can ask forLearn more
Sugra FinanceQuotes, price history, company financials, SEC filings, funds, options, futures and TreasuriesDocs · Video · Article
Sugra MacroInflation, GDP, interest rates, jobs, trade and public finance of whole countriesDocs · Video · Article
Sugra NewsHeadlines, feeds and the world's media attentionDocs · Video · Article
Sugra EarthWeather, climate, air quality, energy, natural hazards and vessel trafficDocs · Video · Article
Sugra NetAtlasIP and ASN lookups, routing history, geolocation and internet outagesDocs · Video · Article
Sugra EntityLegal entity identifiers, company registries, sanctions and PEP screeningDocs · Video · Article
Sugra ResearchPapers, preprints, citations and authorsDocs · Article

Install

The server is hosted, so there is nothing to run. Add Sugra from your agent's directory or install the sugra-api-skills plugin, then connect as shown below. The plugin also carries the Sugra API Skills, which give the agent the procedure - find an operation, read the response, cite the source.

Anthropic - Claude and Claude Code

Claude (claude.ai, Desktop, mobile and Cowork): Add to Claude opens Sugra in Anthropic's Connectors Directory.

Claude Code, the plugin with the skills and the server:

/plugin marketplace add Sugra-Systems/sugra-api-plugins

/plugin install sugra-api-skills@sugra-api-plugins

OpenAI - ChatGPT and Codex

Add to ChatGPT opens Sugra in the OpenAI Plugins Directory, which serves both ChatGPT and Codex. In ChatGPT the skills install together with the server.

Codex, the skills plugin:

codex plugin marketplace add Sugra-Systems/sugra-api-plugins

codex plugin add sugra-api-skills@sugra-api-plugins

GitHub - Copilot and VS Code

GitHub MCP Registry opens Sugra in GitHub's registry. Its Install MCP server button adds the server to VS Code, VS Code Insiders or the GitHub Copilot app.

GitHub Copilot CLI, the plugin with the skills and the server:

copilot plugin marketplace add Sugra-Systems/sugra-api-plugins

copilot plugin install sugra-api-skills@sugra-api-plugins

VS Code: Install in VS Code adds the server.

xAI - Grok and Cursor

Grok, the plugin with the skills and the server:

grok plugin install Sugra-Systems/sugra-api-plugins#xai

Cursor: Install in Cursor adds the server. The plugin with the skills and the server:

git clone https://github.com/Sugra-Systems/sugra-api-plugins

mkdir -p ~/.cursor/plugins/local cp -R sugra-api-plugins/cursor ~/.cursor/plugins/local/sugra-api-skills

Antigravity

The skills plugin:

git clone https://github.com/Sugra-Systems/sugra-api-plugins

agy plugin install ./sugra-api-plugins/antigravity

Antigravity does not start the server from the plugin: add it as shown under Connect.

Other agents

The skills, for any agent that reads Agent Skills:

npx skills add https://mcp.sugra.ai

The server: add it as shown under Connect.

Run it locally

The PyPI package runs the server on your machine over stdio with an API key. Python 3.13 or newer:

pip install sugra-api-mcp

export SUGRA_API_KEY=sugra_... # free key: https://app.sugra.ai/register sugra-api-mcp call quotes_symbol_price --params '{"symbol":"AAPL"}'

Connect

Every client connects to one address. Sign in with your Sugra account, or send an API key as Authorization: Bearer :

https://mcp.sugra.ai/mcp

Anthropic - Claude and Claude Code

Claude: connect Sugra in the directory and sign in with your Sugra account. Added Sugra earlier as a custom connector? Remove that one before you connect from the directory, or you will have two.

Claude Code signed in with a claude.ai account picks the connector up on its own. With the plugin, sign in to its server from /mcp.

OpenAI - ChatGPT and Codex

In ChatGPT or Codex, connect Sugra and sign in with your Sugra account.

GitHub - Copilot and VS Code

GitHub Copilot CLI, by hand:

copilot mcp add --transport http sugra-api https://mcp.sugra.ai/mcp

VS Code, by hand, .vscode/mcp.json:

{ "servers": { "sugra": { "type": "http", "url": "https://mcp.sugra.ai/mcp" } } }

Both open the Sugra sign-in page in your browser the first time they connect.

xAI - Grok and Cursor

Grok connects through the plugin.

Cursor, by hand, ~/.cursor/mcp.json:

{ "mcpServers": { "sugra": { "url": "https://mcp.sugra.ai/mcp" } } }

To sign in, open Cursor Settings, then Tools & MCPs, and select Connect next to sugra.

Antigravity

agy mcp add sugra-api https://mcp.sugra.ai/mcp

The CLI, the app and the IDE share the server. Antigravity opens the Sugra sign-in page the first time the agent uses it.

Other agents

Add the address above as a remote MCP server in any client that speaks Streamable HTTP.

Local package - Claude Desktop, Cursor and other stdio clients

{

"mcpServers": { "sugra": { "command": "sugra-api-mcp", "env": { "SUGRA_API_KEY": "sugra_..." } } } }

Claude Desktop reads it from claude_desktop_config.json, Cursor from ~/.cursor/mcp.json. Other stdio clients take the same command and environment variable in their own MCP settings.

Tools

ToolWhat it does
fetch_dataFinds the best endpoint for a plain-language request and calls it, in one step
search_endpointsSearches the catalog of 1,600+ endpoints
describe_endpointShows an endpoint's parameters, required inputs and cost hints
call_endpointCalls an endpoint by its operation id, with optional limit and fields
list_toolsetsLists the catalog groups with their endpoint counts
list_sourcesLists the sources behind the catalog
sugra_entity_screenScreens a name against sanctions lists and watchlists
sugra_entity_lookupLooks up a company by LEI or VAT number, with screening
resolve_entityHosted only: turns a ticker, company, indicator, coin or currency pair into one entity
get_snapshotHosted only: one current view of an entity, with freshness and provenance
get_timeseriesHosted only: a bounded series of an entity's price or macro metric

The server also ships six workflow prompts (market snapshot, macro briefing, sanctions screening, sector comparison, earth conditions, source overview) and serves five of the Sugra API Skills as MCP resources under sugra://skills/.

Documentation

只显示了开头部分;其余内容请在仓库中阅读

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