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Sugra-Systems/sugra-api-mcp

Sugra-Systems/sugra-api-mcp

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官方说明🎖️ 🐍 ☁️ - World data fr
配置模板(请按你的客户端调整)
claude mcp add sugra-api-mcp -- npx -y sugra-api-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
3 ★ · Sugra-Systems/sugra-api-mcp · 取自 GitHub 搜索 API · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 3 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 Sugra-Systems/sugra-api-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

sugra-api-mcp

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Published in Anthropic's Connectors Directory. Available in Claude on the web, desktop and mobile, Claude Code and Cowork.
Published in the official OpenAI Plugins Directory. Available for ChatGPT and Codex.
**Give any AI agent access to 1,600+ data endpoints across markets, economics, companies, government, news, climate, maritime and entity screening - through one MCP server.**
Works with ChatGPT, Claude, Gemini, xAI, Cursor, VS Code and any MCP client.
Official Model Context Protocol server for the Sugra API: one connector, a bundled endpoint catalog, and structured tool results with source attribution on every answer.
See it in action
An agent answering a real question end to end - resolving entities, pulling live snapshots and history, and citing the source and freshness on every number:
More examples:
**Macro research** - one prompt builds a full G7 inflation and policy-rate table, each cell dated and sourced, with the unavailable ones flagged rather than faked:
**Cross-domain snapshot** - Brent crude, marine weather and regional risk pulled together for a shipping desk, each with its source and timestamp:
What a session looks like
Hosted MCP transcript (the three composed tools shown here run on the hosted endpoint). Captured example - wording and figures vary by run and as new BLS data is published:
Every tool result carries structured metadata - source attribution, freshness, and rate-limit cost - so agents can cite sources and budget requests instead of guessing.
How it works
Behind the gateway sits the Sugra API: 160+ primary sources - sovereign statistics agencies, central banks, intergovernmental bodies and more - feeding 1,600+ endpoints across 36 data domains. The server ships a bundled catalog of the full endpoint surface, so discovery (search, describe, toolsets) runs locally without network calls; only actual data requests hit the API.
What agents build with it
The Sugra API skills live in Sugra-Systems/sugra-api-skills. The server serves five of them as MCP resources (sugra://skills/...) from a pinned commit of that repository: resources/read the URI after connect.
Agent skills
These skills teach the catalog loop. They do not add MCP tools. Connect the Sugra MCP server separately (hosted or local). The plugin package for each agent lives in Sugra-Systems/sugra-api-plugins.
Claude Code
Skills appear as /sugra-api: , for example /sugra-api:discover-and-call.
Codex
Grok
Cursor, Gemini CLI and other agents
Or copy the skill folders of sugra-api-skills into the agent's skills directory.
ChatGPT
The skills install from OpenAI's Plugins Directory. The MCP server attaches as a hosted connector at https://mcp.sugra.ai/mcp (permanent alias https://app.sugra.ai/mcp).
Six workflow prompts ship with the server and turn these into one-click flows in clients that surface MCP prompts:
- **Market and macro research** - "Compare inflation and central bank policy rates across the G7." (macro_briefing)
- **Equity snapshots with sources** - "Where does NVIDIA stand today - price, profile, and market backdrop?" (market_snapshot)
- **Sanctions and compliance screening** - "Screen this supplier and resolve its LEI identity." (sanctions_screening)
- **Sector comparison** - "Energy versus technology: valuations and flows side by side." (sector_compare)
- **Climate, maritime and trade intelligence** - "Red Sea shipping this week: chokepoint transits, crude price, and weather on the route." (earth_conditions plus the transport and commodities catalog)
- **Source discovery** - "What does the catalog offer for fixed income, and from which institutions?" (source_overview)
Every answer carries source attribution and freshness metadata, so agents cite instead of guessing.
Hosted MCP (recommended)
No install. In Claude, ChatGPT and Codex, add the Sugra API MCP server from a directory:
- **Claude** (web, desktop, mobile, Claude Code and Cowork): Add to Claude opens the Sugra API MCP server in Anthropic's Connectors Directory; connect it and sign in with your Sugra account. In claude.ai the directory is under Customize > Connectors. Claude Code signed in with a claude.ai account picks the connector up automatically; /mcp lists it.
- **ChatGPT and Codex**: Add to ChatGPT opens the Sugra API MCP server in the OpenAI Plugins Directory.
Any other MCP client, or a manual setup, points at the hosted Streamable HTTP endpoint:
- The gateway tools plus the composed agent tools resolve_entity, get_snapshot and get_timeseries
来源
awesome · https://github.com/Sugra-Systems/sugra-api-mcp
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