Coupler.io MCP Server

The Coupler.io MCP Server bridges the gap between an AI assistant and real‑time business data by exposing Coupler.io’s powerful data integration platform through the Model Context Protocol. For developers building AI‑enabled analytics workflows, this server eliminates the need to write custom connectors for every marketing, sales or finance source. Instead, a single MCP endpoint can pull structured data from hundreds of SaaS platforms—Google Ads, Facebook, HubSpot, Salesforce and more—and present it to Claude (or any MCP‑compatible client) as a ready‑to‑query SQLite snapshot. This enables conversational data exploration, automated reporting and predictive insights without leaving the AI interface.

Why it matters

Coupler.io already handles complex ETL pipelines, scheduling, and data freshness. The MCP server simply exposes those pipelines to an AI context, allowing a user to ask questions such as “What was our customer acquisition cost this quarter?” or “Show me the sales pipeline for June.” The AI can then retrieve the latest data flow run, execute a SQL query against it, and return results—all in natural language. This removes the cognitive load of learning APIs or writing SQL, letting analysts and product managers focus on strategy rather than plumbing.

Key capabilities

• Data flow access – The tool retrieves a SQLite snapshot of any Coupler.io data flow that has an AI destination, enabling read‑only queries on fresh data.
• Schema discovery – returns the column definitions for a flow, helping the assistant suggest appropriate queries or validate user input.
• Flow enumeration – lists all flows available for AI use, simplifying navigation in large environments.
• Metadata insight – provides details such as source connectors, schedule and last run status.
• Real‑time reporting – By combining these tools, an AI can generate marketing ROI tables, sales conversion charts or cash‑flow statements on demand.

Real‑world scenarios

• Boardroom analytics – An executive can ask the assistant for a quarterly profit breakdown by department, and receive an up‑to‑date table without pulling reports from multiple systems.
• Budget reallocation – A marketing manager can query channel‑level ROI over the past six months and let the assistant recommend budget shifts automatically.
• Sales forecasting – A sales lead can request a probability‑weighted revenue forecast for the current month, and the assistant will pull pipeline data from Salesforce and HubSpot to compute it.
• Financial health checks – A finance officer can ask for overdue invoices and the assistant will pull accounts receivable data from Coupler.io’s financial flows.

Integration into AI workflows

Developers embed the MCP server configuration in their Claude Desktop or other MCP‑compatible client. Once connected, the assistant can invoke the server’s tools directly in a conversation: . The response is parsed and returned to the user, creating a seamless loop where natural language queries drive data retrieval, transformation, and presentation—all orchestrated by the MCP infrastructure.

Standout advantages

• Zero‑code data access – No custom API wrappers or SQL scripts are needed; the server handles authentication, query execution and result formatting.
• Unified data source – Coupler.io’s single‑click connectors mean the same MCP endpoint can serve marketing, sales and finance data, reducing context switching.
• Up‑to‑date information – By pulling the most recent data flow run, the assistant always works with fresh metrics, eliminating stale reports.
• Security – The server uses a personal access token and Docker isolation, keeping credentials out of the client and ensuring data privacy.

In summary, the Coupler.io MCP Server turns a complex ecosystem of business tools into a single, AI‑friendly data source. It empowers developers and analysts to ask insightful questions in natural language while the server handles all the heavy lifting of data extraction, transformation and delivery.