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Dimensions Analytics

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Search and analyze Dimensions research data: publications, grants, researchers, patents, trials

Source code Website Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package @digital-science-dsl/dimensions-analytics-mcp
Claude Code 
claude mcp add dimensions-analytics -e 'DIMENSIONS_API_KEY=<your dimensions_api_key>' -e 'DIMENSIONS_BASE_URL=<DIMENSIONS_BASE_URL>' -- npx -y @digital-science-dsl/dimensions-analytics-mcp@1.4.2
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "dimensions-analytics": {
            "command": "npx",
            "args": [
                "-y",
                "@digital-science-dsl/dimensions-analytics-mcp@1.4.2"
            ],
            "env": {
                "DIMENSIONS_API_KEY": "<your dimensions_api_key>",
                "DIMENSIONS_BASE_URL": "<DIMENSIONS_BASE_URL>"
            }
        }
    }
}

Environment variables

  • DIMENSIONS_API_KEY required secret Dimensions API key (same key as the Dimensions DSL API)
  • DIMENSIONS_BASE_URL Dimensions API base URL. Required for custom instances, e.g. https://your-instance.dimensions.ai

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Dimensions Analytics MCP
  2. Prerequisites
  3. Quick install
  4. Using Dimensions in chat
  5. More documentation
  6. Privacy Policy
  7. License

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, reports, source titles, and more; find topic-similar documents from an abstract; 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

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

Quick install

Claude Desktop (macOS or Windows): download the latest extension, then open Settings → Extensions → Advanced settings → Install Extension… and select the file. Enter your API key in the extension settings. See installation details.

Other MCP clients: use the guided installer below.

Hosted server (no install): clients that can send an Authorization header — Cursor, VS Code, Windsurf, Claude Code, Codex CLI — can connect straight to https://app.dimensions.ai/mcp with Authorization: Bearer <your API key>. The guided installer offers this too. See Hosted server.

Mac / Linux — paste in Terminal:

bash -c "$(curl -fsSL https://raw.githubusercontent.com/digital-science/dimensions-analytics-mcp/main/scripts/install.sh)"

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, if needed, a custom instance URL, 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.

Custom Dimensions instance: If you log in at a URL other than https://app.dimensions.ai (for example https://your-instance.dimensions.ai), you must set DIMENSIONS_BASE_URL to that URL. A key from a custom instance fails with 401 Unauthorized against the standard host. The installer asks for this; for manual config:

"env": {
  "DIMENSIONS_API_KEY": "your-api-key",
  "DIMENSIONS_BASE_URL": "https://your-instance.dimensions.ai"
}

When done, restart your AI app and look for dimensions in MCP settings. Guided prefix installs update themselves for same-major npm releases; other install methods log an upgrade warning. Details: Updating.

Using Dimensions in chat

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

Tool reference: docs/USAGE.md.

More documentation

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

Privacy Policy

This extension runs on your computer. It sends your API key and your queries only to the Dimensions API at the instance you configure (app.dimensions.ai by default). With each request it also sends usage metadata: the tool name, the extension version, the MCP client name, and a random session ID created when the server starts. Digital Science uses this metadata to monitor and improve the service. The extension doesn't send data to any other service, and the Claude Desktop extension doesn't check npm for updates.

How Digital Science collects, uses, stores, shares, and retains this data, and how to contact us, is described in the Dimensions privacy policy. Questions: supportapi@dimensions.ai.

License

MIT

Frequently asked questions

What is Dimensions Analytics?

Search and analyze Dimensions research data: publications, grants, researchers, patents, trials

How do I install Dimensions Analytics?

It runs on your machine. In Claude Code: claude mcp add dimensions-analytics -e 'DIMENSIONS_API_KEY=<your dimensions_api_key>' -e 'DIMENSIONS_BASE_URL=<DIMENSIONS_BASE_URL>' -- npx -y @digital-science-dsl/dimensions-analytics-mcp@1.4.2. For other clients, paste the JSON configuration from this page into their MCP settings.

Does Dimensions Analytics need an API key?

Yes. It expects DIMENSIONS_API_KEY, which you set in its configuration.

Is Dimensions Analytics open source?

Its code is public on GitHub, but the repository does not declare a standard license.

Who maintains Dimensions Analytics?

It is published by digital-science. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.