Datalogics Scout AI Assistant Now Connects via MCP

Datalogics‘ Scout AI Assistant just got a major upgrade! Its underlying knowledge base is now accessible via the Model Context Protocol (MCP), letting developers query Datalogics documentation directly from their favorite AI coding tools, with no need to open the Scout widget at all.

What is MCP?

MCP is an open standard that allows AI assistants to connect to external knowledge sources mid-conversation. Think of it as a bridge, where tools like Cursor or Claude can reach out and pull answers from a specific, curated data source without ever leaving the editor.

Where it works

The Scout MCP server is compatible with Cursor, VS Code, Claude Code, Claude Desktop, and ChatGPT Desktop — anywhere that supports MCP clients.

Grounded answers, not guesswork

One important thing to know: the MCP server retrieves answers grounded in Datalogics‘ indexed documentation. Responses are accurate and cited, but scoped to what's been indexed; meaning it won't fabricate answers or go off-script beyond those sources. We consider that a feature, not a limitation.

Why it matters

Developers working with Datalogics PDF tools, APIs, and SDKs can now get precise, sourced answers right inside their editor without breaking flow to hunt through docs or switch browser tabs. Less context-switching, faster answers, better code.

Getting connected is simple

To get started, click the MCP button in the Scout widget header and choose your tool (see screenshot below). Cursor and VS Code users get one-click installs, Claude Code users get a ready-to-run CLI command, and for any other MCP-compatible tool, there's a copyable URL to drop right in.

Visit https://www.datalogics.com/ or https://dev.datalogics.com/ and click “Ask Scout” in the bottom right corner to get started!