Sugra API
Server Details
Gateway between LLM agents and world data through eight tools and a bundled endpoint catalog.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- Sugra-Systems/sugra-api-mcp
- GitHub Stars
- 2
- Server Listing
- Sugra API MCP
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 4.4/5 across 11 of 11 tools scored. Lowest: 3.6/5.
Each tool has a clearly distinct purpose: endpoint operations (call, describe, search, fetch), entity resolution (resolve_entity for market, sugra_entity_lookup for legal identifiers, sugra_entity_screen for compliance), and data retrieval (get_snapshot, get_timeseries). No two tools overlap in function, even fetch_data is clearly a convenience wrapper.
Most tools follow a verb_noun pattern (e.g., call_endpoint, describe_endpoint, fetch_data, resolve_entity). However, two tools (sugra_entity_lookup, sugra_entity_screen) break the pattern by prefixing with 'sugra_', creating a minor inconsistency in an otherwise well-structured naming scheme.
With 11 tools, the server is well-scoped. Each tool serves a distinct role without being excessive. The count matches the complexity of the domain (financial data, compliance, entity resolution) and allows agents to operate efficiently.
The tool surface covers core workflows: endpoint discovery, simplified fetching, composed snapshots, timeseries, entity resolution (market and legal), and compliance screening. Minor gaps exist, such as no direct tool to list endpoints (though search_endpoints suffices), but overall it's comprehensive for the stated purpose.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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