Sugra-Systems/sugra-api-mcp

Overview

Sugra MCP is a Model Context Protocol connector that gives LLM agents access to world data. It exposes over 1,500 endpoints aggregating 160+ primary sources across 36 data domains. It works with Anthropic Claude, OpenAI GPT, Google Gemini, xAI, and any MCP-enabled client.

Best for

Best for
Developers building MCP-enabled agents that need fast access to many types of world data

Use cases

• Pull market data and macroeconomic indicators into a Claude or GPT agent
• Screen entities or companies against government and news sources
• Fetch climate, maritime, or other domain data through a single MCP endpoint

Notes

Sugra MCP is a Model Context Protocol connector that gives LLM agents access to world data. It exposes over 1,500 endpoints aggregating 160+ primary sources across 36 data domains. It works with Anthropic Claude, OpenAI GPT, Google Gemini, xAI, and any MCP-enabled client.

2 stars on GitHub. Last updated 2026-08-23. Licensed MIT.

Use cases

• Pull market data and macroeconomic indicators into a Claude or GPT agent
• Screen entities or companies against government and news sources
• Fetch climate, maritime, or other domain data through a single MCP endpoint

Pros

• Very broad data coverage with 160+ primary sources aggregated
• Model-agnostic and works with major LLM providers or any MCP client
• One connector replaces many separate data API integrations

Cons

• Very low GitHub star count suggests limited community adoption
• Cross-domain aggregation may bring inconsistent source quality or latency
• Python-only implementation may not suit non-Python stacks

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.