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Sugra-Systems/sugra-api-mcp

Sugra-Systems/sugra-api-mcp

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Official description🎖️ 🐍 ☁️ - World data fr
Config template (adjust for your client)
claude mcp add sugra-api-mcp -- npx -y sugra-api-mcp
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
3 ★ · Sugra-Systems/sugra-api-mcp · read from the GitHub search API · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 3 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository Sugra-Systems/sugra-api-mcp;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
Third-party quality signals

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
Source
awesome · https://github.com/Sugra-Systems/sugra-api-mcp
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