Coupler.io Analytics
Coupler.io MCP server that provides AI assistants with direct access to data flows and analytics from hundreds of connected data sources through four core tools: list-dataflows for discovering available data flows by name and ID, get-dataflow for retrieving flow metadata including sources and schedules, get-schema for examining table structures with column definitions, and get-data for executing SQL queries against flow data stored in SQLite format. Built by Railsware Products Studio LLC with TypeScript and Docker support, the implementation downloads and caches data files locally using signed URLs, supports both development and production deployment modes, and includes comprehensive error handling and parameter validation. Designed for data analysts and business users who want to analyze, blend, and query data from multiple sources conversationally without requiring SQL expertise or direct database access, enabling on-demand reporting and insights from fresh, scheduled data flows.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/railsware/coupler-io-mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Coupler.io Analytics from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.