MCP server: One MCP server.

Dimensions Analytics

@dimensionsRun by its publisher: served from their own domain, namespace checked by the registry.MCP server · External

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

Academic papersv1.4.2TypeScript
Freeno charge per call

Runs on your machine from its package; the steps are below.

What it does

  1. Reads
  2. Writes
  3. High impact

At most: only reads or looks up information.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

Runs locally over stdio

This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).

npm@digital-science-dsl/dimensions-analytics-mcpv1.4.2

Run

npx -y @digital-science-dsl/dimensions-analytics-mcp

MCP client config

{
  "mcpServers": {
    "dimensions-analytics": {
      "command": "npx",
      "args": [
        "-y",
        "@digital-science-dsl/dimensions-analytics-mcp"
      ]
    }
  }
}
README2 min read

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.

Mac / Linux — paste in Terminal:

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

Windows — paste in PowerShell:

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:

json
"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.

License

MIT

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