Dimensions Analytics MCP

Connect Cursor, Claude Desktop, VS Code, and other MCP clients to Dimensions research data.

Dimensions Analytics MCP lets your AI assistant search publications, grants, researchers, and more; run analytics and trends; look up DOIs and Dimensions IDs; and explore the live Dimensions schema — all through natural language in tools your client already supports.

After a short install, you configure your MCP client once, restart the app, and use dimensions like any other integration. Example prompts and workflows are in docs/USAGE.md.

Prerequisites

• Node.js 20+ — required for the local stdio server (the installer can help you install it)
• Dimensions API key — from your Dimensions account (same key as the Dimensions DSL API)

Don’t have an API key yet? Request a demo or quote here.

Quick install

Mac / Linux — paste in Terminal:

curl -fsSL https://raw.githubusercontent.com/digital-science/dimensions-analytics-mcp/main/scripts/install.sh | bash

Windows — paste in PowerShell:

irm https://raw.githubusercontent.com/digital-science/dimensions-analytics-mcp/main/scripts/install.ps1 | iex

The installer checks Node.js, downloads Dimensions Analytics MCP, asks for your API key, and configures Claude Desktop, Cursor, VS Code (Copilot), or Windsurf. Full details: Installation.

No GitHub token is required. The installer downloads @digital-science-dsl/dimensions-analytics-mcp from npm.

When done, restart your AI app and look for dimensions in MCP settings.

Using Dimensions in chat

Once connected, ask your assistant to search publications, grants, researchers, run analytics, or look up a DOI.

Tool reference: docs/USAGE.md.

More documentation

• Installation — guided installer and manual setup
• Usage guide — workflows for AI assistants
• Reference — names, env vars, rate limits, schema cache
• MCP field aliases — field name shortcuts accepted by search tools

Package: @digital-science-dsl/dimensions-analytics-mcp on npm.

License

MIT