Sugra API MCP Server認証済み注目

What is Sugra API MCP?

Sugra API MCP is the official Model Context Protocol server for the Sugra API. It gives AI agents source-attributed access to 1,500+ endpoints across 36 data domains from 160+ primary sources through a compact set of MCP tools.

Coverage includes market data, macroeconomics, company fundamentals and filings, government data, news, commodities, climate, weather, maritime intelligence, international trade, and entity screening.

Sugra API MCP is available in two deployment modes:

• Hosted MCP: Streamable HTTP endpoint with no local installation, OAuth or API-key authentication, and 11 tools.
• Local MCP: Python package supporting stdio and self-hosted HTTP, with 8 gateway tools.

Tool responses can include source attribution, data freshness, request-cost information, and quota metadata, helping agents produce grounded answers and manage API usage.

How to use Sugra API MCP?

Hosted MCP - recommended

Add the following URL as a custom MCP connector in your client:

https://app.sugra.ai/mcp

Authenticate through OAuth where supported, or provide a Sugra API key as a bearer token:

Authorization: Bearer sugra_xxx_yourkey...

The hosted service requires no Python installation and includes all 11 tools.

Local Python MCP

Install the package:

pip install sugra-api-mcp

Add the server to your MCP client configuration:

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

The local package runs over stdio by default and exposes the eight core gateway tools.

Sugra API MCP works with Anthropic Claude, OpenAI ChatGPT and GPT-based agents, Google Gemini, xAI, Cursor, VS Code, Zed, Cline, Continue, Windsurf, and custom agents built with the Python or TypeScript MCP SDK.

Tools

Core tools - local and hosted

• fetch_data - Select and call an appropriate Sugra API endpoint from a natural-language data request.
• search_endpoints - Search the Sugra endpoint catalog by subject, source, domain, or capability.
• describe_endpoint - Retrieve endpoint parameters, schemas, source information, and usage details.
• call_endpoint - Call a specific Sugra API endpoint with explicit parameters.
• list_toolsets - Browse available data domains and toolsets.
• list_sources - Discover primary institutions and data sources available through Sugra.
• sugra_entity_screen - Screen entities using sanctions, compliance, and identity data.
• sugra_entity_lookup - Search for and retrieve structured entity information.

Additional hosted tools

• resolve_entity - Resolve an organization, security, or other entity to a canonical identity.
• get_snapshot - Build a structured multi-source snapshot for an entity or subject.
• get_timeseries - Retrieve and normalize time-series data for analysis.

Key features

• 1,500+ endpoints across 36 data domains.
• 160+ primary sources, including government agencies, central banks, exchanges, regulators, statistical institutions, and international organizations.
• Compact MCP surface instead of exposing thousands of individual tools.
• Natural-language routing for data discovery and retrieval.
• Direct endpoint execution for deterministic agent workflows.
• Source attribution and freshness metadata for grounded outputs.
• Response shaping with limits, field selection, and optional raw responses.
• Entity resolution and screening for compliance and research workflows.
• Hosted and local deployments for managed and self-hosted environments.
• Cross-domain workflows combining financial, economic, corporate, government, climate, trade, and maritime data.

Use cases

Market and macroeconomic research

Compare inflation, interest rates, labor-market indicators, exchange rates, commodities, and central-bank policy across countries.

Example:

Compare inflation and central-bank policy rates across the G7.

Company and equity research

Combine company fundamentals, filings, market prices, ownership data, news, and macroeconomic context.

Example:

Build a current research snapshot for this company, including valuation, fundamentals, recent filings, and material news.

Sanctions and entity screening

Resolve company identities and screen suppliers, customers, counterparties, vessels, and beneficial owners.

Example:

Screen this supplier and resolve its LEI and sanctions identity.

Sector comparison

Compare valuations, fundamentals, market performance, flows, and macroeconomic exposure across industries.

Example:

Compare energy and technology sector valuations and capital flows.

Climate, maritime, and trade intelligence

Analyze weather, climate indicators, vessel activity, ports, shipping, trade flows, and related economic data.

Example:

Assess weather and maritime factors affecting this commodity trade route.

Data-source discovery

Identify which datasets, institutions, and endpoints are available for a research question before running an analysis.

Example:

What fixed-income data is available, and which institutions provide it?