sugra-api-mcp 0.1.2

Connector between LLM agents and world data. 518+ endpoints aggregating 55+ primary sources across financial markets, macroeconomics, company fundamentals, government, physical world, and news. MCP-compatible: Claude Desktop, Claude Code, claude.ai, ChatGPT, Cursor, Zed, and custom agents.

sugra-api-mcp

Connector between LLM agents and world data. Official Model Context Protocol server for the Sugra API - 518+ endpoints aggregating 55+ primary sources across financial markets, macroeconomics, company fundamentals, government, physical world, and news.

MCP is a vendor-neutral protocol. This server works with any MCP-compatible client:

• Anthropic: Claude Desktop, Claude Code (CLI), claude.ai (web)
• OpenAI: ChatGPT (via MCP connector)
• IDEs: Cursor, Zed, Cline, Continue.dev, Windsurf
• Custom agents: anything built on the Python or TypeScript MCP SDK

What you get

17 tools covering the full Sugra API:

Category	Tools
Markets	get_market_price, get_historical_prices, get_market_overview, search_symbol, get_prediction_market
Fundamentals	get_company_overview, get_company_filings
Macro	get_macro_indicator, get_central_bank_rate, search_economic_series
Government	get_government_spending, get_treasury_data
Physical world	get_weather, get_environmental_data
News	get_news
Discovery	search_endpoint, call_endpoint (covers all 518 endpoints)

Installation

pip install sugra-api-mcp

Get a free API key at app.sugra.ai/settings/billing (Free tier: 50 req/day).

Usage with Claude Desktop (stdio)

Add to claude_desktop_config.json:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

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

Restart Claude Desktop. Sugra tools appear in the tools menu.

Usage with Claude Code (Anthropic CLI)

claude mcp add sugra -- sugra-api-mcp
# then set the env var that sugra-api-mcp reads
export SUGRA_API_KEY=sugra_xxx_...

Or edit ~/.claude/config.json manually with the same shape as Claude Desktop above.

Usage with Cursor, Zed, Cline, Continue.dev, Windsurf

Each of these has an MCP settings file (typically mcp.json or equivalent) with the same stdio config shape as Claude Desktop.

Usage with ChatGPT

ChatGPT supports MCP through its connector UI. Use the hosted HTTP endpoint (below) since ChatGPT does not launch local stdio processes.

Usage over HTTP (claude.ai, ChatGPT, remote agents)

Hosted Streamable HTTP endpoint:

https://app.sugra.ai/mcp

Add to claude.ai, ChatGPT, or any Streamable HTTP MCP client. Authenticate with Authorization: Bearer sugra_xxx_....

In claude.ai: Settings -> Connectors -> Add custom connector. In ChatGPT: Settings -> Connectors -> Add MCP server.

Environment variables

Variable	Required	Default	Description
SUGRA_API_KEY	Yes	-	Your Sugra API key
SUGRA_API_BASE	No	https://sugra.ai	Override for self-hosted or beta environments
SUGRA_TIMEOUT	No	30	Request timeout in seconds

Examples

Ask Claude:

• "What's Bitcoin's current price and how did it move this week?"
• "Show me Apple's income statement and debt profile."
• "Compare US vs Germany CPI over the last 5 years."
• "What's the Fed funds rate today, and what was the last change?"
• "Find all Sugra endpoints related to shipping or vessels."

Development

git clone https://github.com/Sugra-Systems/prod-sugra-ai-MCP
cd prod-sugra-ai-MCP
pip install -e ".[dev,http]"
export SUGRA_API_KEY=sugra_...
python -m sugra_api_mcp  # stdio mode
python -m sugra_api_mcp --transport streamable-http --port 8001  # HTTP mode

Run tests:

pytest

License

MIT © Sugra Systems, Inc.