Dimensions Analytics MCP

Purpose: Accessing and querying Dimensions Analytics research data from AI assistants without building a custom integration.

Inferred · not functionally tested

Audience: researchers and developers building AI-powered research workflows

Inferred · not functionally tested

Functions: rag, data_extraction

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: Open Source · platforms: CLI, WEB · deployment: browser, cli, api_only, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: github.com. These links do not verify the individual claims.

Dimensions Analytics MCP sits in PulseGate's Frameworks & SDKs category. Inferred · not functionally tested: It focuses on accessing and querying Dimensions Analytics research data from AI assistants without building a custom integration. Inferred · not functionally tested: Dimensions Analytics MCP is an open-source project aimed at researchers and developers building AI-powered research workflows. Basis unknown · not verified: Dimensions Analytics MCP is open source under the Open Source license. Basis unknown · not verified: It ships for the web, the command line, and API, and it can be self-hosted.

Behind Dimensions Analytics MCP is Digital Science. Inferred · not functionally tested: Key capabilities include MCP server, research analytics, and data querying. Inferred · not functionally tested: Catalogued interfaces include an MCP server and a public API.

Summary written by a language model from the project’s public pages.