ai.sugra/api-mcp

up checked 2026-11-11T04:39:11.271Z

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Publisher-provided title

Sugra MCP

Publisher-provided description

Connect AI agents to primary sources - markets, macro, news, earth, network, entities and research.

Summary by lookupd

Lets agents search and call a catalog of market, macro, news, and entity data endpoints, plus screen names against sanctions lists.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http api https://mcp.sugra.ai/mcp

Claude Code, pypi package (stdio)

claude mcp add api -- uvx sugra-api-mcp

Codex, remote (streamable-http)

codex mcp add api --url https://mcp.sugra.ai/mcp

Codex, pypi package (stdio)

codex mcp add api -- uvx sugra-api-mcp

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "api": {
      "url": "https://mcp.sugra.ai/mcp"
    }
  }
}

Cursor, pypi package (stdio) → .cursor/mcp.json

{
  "mcpServers": {
    "api": {
      "command": "uvx",
      "args": [
        "sugra-api-mcp"
      ]
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (11 tools)

Publisher-provided text

• sugra_entity_screen Screen a person or organization name against the Sugra sanctions corpus. Returns a SCREENING SIGNAL, not a compliance determination. Sugra is a technology prov
• sugra_entity_lookup Resolve an entity by identifier and return its composed KYB envelope. `anchor` is `lei` (Legal Entity Identifier, resolved via the GLEIF registry) or `vat` (EU
• search_endpoints Search the bundled Sugra endpoint catalog by natural-language query. Use this to pick an operation_id. It does not fetch data. Typical loop: 1. search_endpoint
• describe_endpoint Describe one Sugra API endpoint by operation_id. Includes agent_hints (duration_class fast/slow/heavy, max_concurrency, bulk billing) so you can budget timeout
• call_endpoint Call a Sugra API endpoint by operation_id from the bundled catalog. Plan calls with describe_endpoint's agent_hints: duration_class "fast" usually responds in
• list_toolsets List catalog groups with endpoint counts and short descriptions. Use the group names as the toolset filter on search_endpoints. This does not call the Sugra AP
• fetch_data One-step fetch: find the best Sugra endpoint for the query and call it. Combines search_endpoints + call_endpoint into a single round trip. Use this when you w
• list_sources List source families in the bundled catalog with endpoint counts. Use the family names as the source filter on search_endpoints. This does not call the Sugra A
• resolve_entity Resolve free text to a canonical market or macro entity. Turns a ticker, company name, macro indicator, coin, or currency pair into the agent plane's ``{namesp
• get_snapshot Composed current view of an entity via a named recipe. Executes a fixed server-side recipe (company_snapshot, etf_snapshot, quote_snapshot, macro_indicator_sna
• get_timeseries Bounded timeseries for an entity: price, macro_series, etf_flows or etf_monthly_flows. Returns points oldest-first with an explicit downsampling flag when the

Details

• Version: 0.14.1
• Transports: streamable-http, stdio
• Uptime (7 days): 100%
• Median latency: 229 ms
• First indexed: 2026-11-01T08:51:03.103Z
• Last seen in registry: 2026-11-05T06:17:14.689Z
• Repository: https://github.com/Sugra-Systems/sugra-api-mcp
• Website: https://mcp.sugra.ai

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