One API for market data, economics data, commodities, climate, and global news. LLM-ready JSON built for AI agents and apps.
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Last probed Nov 3, 2026 · mcp.sugra.ai
11tools discovered
For AI agents — MCPBundles Directory API
For MCP client apps (human connect):
MCP connect URL: https://mcp.sugra.ai/mcp
Skill page: https://www.mcpbundles.com/skills/sugra-mcp-c5b15ecfe7
Explore capabilities (11)
read 11
Get
2
List
2
Sugra Entity
2
Other capabilities
5
Sugra Entity Screen
read
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 provider, not a sanctions authority or consumer reporting agency.
PEP and adverse-media coverage is supplementary and non-comprehensive - a
`clear` result is not proof of absence, and a `hit` is a candidate match to
review, not a finding.
Output is COMPACT to protect the agent context budget:
`{status, matches:[{name, score, list, type}], di
Description may be truncated on the public preview.
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 provider, not a sanctions authority or consumer reporting agency.
PEP and adverse-media coverage is supplementary and non-comprehensive - a
`clear` result is not proof of absence, and a `hit` is a candidate match to
review, not a finding.
Output is COMPACT to protect the agent context budget:
`{status, matches:[{name, score, list, type}], di
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 VAT number, validated via the EU VIES service). The result
weaves identity, a sanctions screening signal, and - on request - ownership
and adverse-media slices.
The screening verdict is a SCREENING SIGNAL, not a compliance determination,
and any PEP / adverse-media content is supplementary and non-comprehensive.
The `disclaimer` field c
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_endpoints(query) -> ranked hits with required_parameters
2. describe_endpoint(operation_id) -> params, request_body_schema, agent_hints
3. call_endpoint(operation_id, params=..., body=...) or fetch_data(query, params=...)
Filter with toolset or source only after list_toolsets / list_sources;
a misspelled filter is an error, not a silent empty re
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 timeouts and parallelism before calling.
POST endpoints with a JSON body also carry request_body_schema (the
resolved JSON schema) - construct the `body` argument from it instead
of guessing key names. Call this after search_endpoints and before
call_endpoint when you need the exact parameter names and examples.
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 under ~2s, "slow" usually 1-5s and occasionally 15s+
on a cold upstream, "heavy" can exceed the gateway timeout - keep parallel
calls within max_concurrency and prefer small batches. Bulk endpoints bill
1 request credit per body item. Failures return structured errors {error,
reason, status_code, elapsed_ms, retry_hint}; after "upstream_t
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A working endpoint is step one. Directory coverage is the coordinated launch across ChatGPT, Claude, Cursor, the MCP Registry, and community indexes.
One API for market data, economics data, commodities, climate, and global news. LLM-ready JSON built for AI agents and apps.
How do I connect Sugra Systems to my AI agent?
Use the MCP endpoint listed on this page in your MCP client configuration. One-click install pills support Claude, Cursor, VS Code, and other hosts. Copy the remote MCP URL if your client needs a manual entry.
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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 API; it reads the bundled catalog.
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 want data without manually picking an operation_id. The
full search_endpoints + describe_endpoint + call_endpoint dance is still
available when you need explicit control, but for most natural-language
queries this tool is enough.
Behavior:
1. Search the bundled catalog for the query. Top match wins.
2. If the matched endpoint has required
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 API.
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 ``{namespace, ids}`` entity for use with get_snapshot and
get_timeseries. A cross-namespace collision (e.g. a ticker that is both an
equity and a coin) returns status "ambiguous" with ranked candidates and
NEVER silently picks one; pass type_hint (e.g. "equity", "etf", "coin") to
narrow the universe. Crypto aliases resolve too (e.g. "bitcoin" -> t
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_snapshot, macro_calendar,
earnings_snapshot, debt_snapshot) and returns one envelope with freshness,
provenance, per-component coverage, and billing. Composed calls charge the
recipe's fixed cost (1-2 units) from the daily quota. status "partial"
means an optional component was unavailable - the present components are
still trustworthy; hono
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
raw series exceeded max_points. Times are UTC. Costs 1 unit per call.
Read the step from ``served_granularity``, not ``granularity``. The
latter echoes the request; the former is the step the source built the
points at, and the two can differ (a long price range can come back as
monthly bars under a "1d" request). It reads ``mixed`` when
MCPBundles probed 11 tools on the live server. The tool list on this page reflects what was discovered at the last refresh — connect your client to see the full set available to your session.
What authentication does Sugra Systems require?
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