Search and analyze Dimensions research data: publications, grants, researchers, patents, trials
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.
Don’t have an API key yet? Request a demo or quote here.
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.
Once connected, ask your assistant to search publications, grants, researchers, reports, journals, run analytics, or look up a DOI.
Tool reference: docs/USAGE.md.
Package: @digital-science-dsl/dimensions-analytics-mcp on npm.
MIT
Source-derived launch command. Check the maintainer’s required arguments and credentials before running:
npx -y @digital-science-dsl/dimensions-analytics-mcpMerge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.
{
"mcpServers": {
"ai-dimensions-analytics-mcp": {
"command": "npx",
"args": [
"-y",
"@digital-science-dsl/dimensions-analytics-mcp"
]
}
}
}Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.
Claude Desktop setup referenceDimensions Analytics works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.
~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.~/.cursor/mcp.jsonRestart Cursor for changes to take effect..vscode/mcp.jsonReload VS Code window for changes to take effect.~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect..mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.