smartscout-domo
Related Servers
Alternatives to smartscout-domo
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceMCP server for managing and analyzing Amazon Advertising data through natural language queries.3 npm7MIT
- AlicenseCqualityDmaintenanceAn MCP server that provides seamless integration with Claude Desktop for querying and managing timeseries data in GigAPI Timeseries Lake.76Apache 2.0
- AlicenseNot gradedqualityDmaintenanceThis read-only MCP Server allows you to connect to Amazon Marketplace data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcpMIT
- FlicenseBqualityDmaintenanceAn MCP server that enables Claude Desktop to communicate with A2A protocol agents, allowing Claude to access extended capabilities through agent interactions.322-
- FlicenseNot gradedqualityDmaintenanceMCP server that integrates with Microsoft Dynamics 365 Business Central, enabling querying of customers, items, and sales orders through natural language commands in Claude Desktop.10-
- FlicenseNot gradedqualityCmaintenanceAn MCP server that connects Claude Desktop to the IT Asset Tracker backend, giving Claude access to 70+ tools for managing assets, users, requests, and reports.-
TDQS
Scored across 26 tools
Most tools target clearly distinct resources or actions, but the Domo/dataset diagnostics overlap: smartscout_dataset_status and smartscout_check_datasets are nearly interchangeable, and smartscout_test_query overlaps with smartscout_custom_query and smartscout_raw_api_test.
All tools use the same smartscout_ prefix and snake_case convention, with predictable entity/action phrasing. Minor noun-vs-verb differences do not break the consistent style.
26 tools is above the comfortable range for this server, especially with six separate Domo/dataset diagnostics inflating the surface. The data-domain tools are broad, but the total set is heavy and likely over-scoped.
Core entities such as products, sellers, brands, keywords, and markets each have search, detail, and analysis coverage, and custom SQL provides an escape hatch. Some gaps remain, such as category listing or historical trends for sellers/brands, but the surface is largely complete.