Connect AI agents to primary sources - markets, macro, news, earth, network, entities and research.
Connect Remote server
claude mcp add --transport http api-mcp https://mcp.sugra.ai/mcp{
"mcpServers": {
"api-mcp": {
"url": "https://mcp.sugra.ai/mcp"
}
}
}{
"servers": {
"api-mcp": {
"type": "http",
"url": "https://mcp.sugra.ai/mcp"
}
}
}Settings > Connectors > Add custom connector
URL: https://mcp.sugra.ai/mcpTools 11 found in our last check
sugra_entity_screenScreen a person or organization name against the Sugra sanctions corpus. Returns a SCREENING SIGNAL, not a compliance determination. Sugra is a technology provider, not a sanctions authority or consumer reporting agency. PEP and adverse-media coverage is supplementary and non-co…
sugra_entity_lookupResolve an entity by identifier and return its composed KYB envelope. `anchor` is `lei` (Legal Entity Identifier, resolved via the GLEIF registry) or `vat` (EU VAT number, validated via the EU VIES service). The result weaves identity, a sanctions screening signal, and - on requ…
search_endpointsSearch 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_endpoints(query) -> ranked hits with required_parameters 2. describe_endpoint(operation_id) -> params, request_body_schema, agen…
describe_endpointDescribe one Sugra API endpoint by operation_id. Includes agent_hints (duration_class fast/slow/heavy, max_concurrency, bulk billing) so you can budget timeouts and parallelism before calling. POST endpoints with a JSON body also carry request_body_schema (the resolved JSON sche…
call_endpointCall 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 under ~2s, "slow" usually 1-5s and occasionally 15s+ on a cold upstream, "heavy" can exceed the gateway timeout - keep p…
list_toolsetsList 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 API; it reads the bundled catalog.
fetch_dataOne-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 want data without manually picking an operation_id. The full search_endpoints + describe_endpoint + call_endpoint dance i…
list_sourcesList 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 API.
resolve_entityResolve 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 ``{namespace, ids}`` entity for use with get_snapshot and get_timeseries. A cross-namespace collision (e.g. a ticker that is both…
get_snapshotComposed current view of an entity via a named recipe. Executes a fixed server-side recipe (company_snapshot, etf_snapshot, quote_snapshot, macro_indicator_snapshot, macro_calendar, earnings_snapshot, debt_snapshot) and returns one envelope with freshness, provenance, per-compon…
get_timeseriesBounded timeseries for an entity: price, macro_series, etf_flows or etf_monthly_flows. Returns points oldest-first with an explicit downsampling flag when the raw series exceeded max_points. Times are UTC. Costs 1 unit per call. Read the step from ``served_granularity``, not ``g…
Details
| Endpoint | https://mcp.sugra.ai/mcp (Streamable HTTP) |
| Package | [email protected] (PYPI, stdio) |
| First published | 5 Nov 2026 |
| Last updated | 5 Nov 2026 |
| Registry name | ai.sugra/api-mcp |
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