Why this fit
Teams evaluating AI models, assistants and generative workflows, particularly AI agents that connect over MCP and developers integrating through an API — source available on GitHub.
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Catalogue record
github.com
sugra-api-mcp
🎖️ 🐍 ☁️ - Connector between LLM agents and world data - 1,500+ endpoints aggregating 160+ primary sources across 36 data domains: markets, m...
Checked Oct 27, 2026Evidence completeness: evidenceREADME refreshed Oct 16, 2026
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🎖️ 🐍 ☁️ - Connector between LLM agents and world data - 1,500+ endpoints aggregating 160+ primary sources across 36 data domains: markets, macroeconomics, company fundamentals, government, news, climate, maritime, and entity screening. Install via pip install sugra-api-mcp or hosted at app.sugra.ai/mcp.
Best for
Teams evaluating AI models, assistants and generative workflows, particularly AI agents that connect over MCP and developers integrating through an API — source available on GitHub.
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
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Evidence summary
Known limitations
Workflows that require fully deterministic, auditable outputs with no human review step.
Catalogue confidence
Catalogue data checked Oct 27, 2026.
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sugra-api-mcp
GitHub / Sugra-Systems/sugra-api-mcp
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