Digital Science has launched the Altmetric MCP, a Model Context Protocol server that connects AI agents to its research attention tracking data. The tool lets researchers, institutions, and medical affairs teams pull real-world engagement metrics from news media, policy documents, and social media directly into AI workflows like Claude or ChatGPT.
Citation counts remain the default measure of academic influence, but they capture only part of the picture. A paper can inform national policy, generate significant media coverage, or reach clinical communities without accumulating a single additional citation. Manually tracking that engagement across dozens of platforms is time-intensive and rarely done at scale.
What the Altmetric MCP does
The MCP connects to live Altmetric data through the MCP standard, making it compatible with Claude, ChatGPT, VS Code, and Cursor. Existing Altmetric API customers can connect immediately, with no additional license required.
The tool gives AI agents the ability to:
- Surface attention scores, engagement breakdowns, and sentiment for any publication.
- Track which news outlets, policy bodies, and online platforms are discussing specific research.
- Aggregate engagement data across entire publication portfolios for impact reporting.
- Identify outputs gaining traction in policy or press shortly after publication.
Beyond the citation count
Sebastian Schmidt, EVP Enterprise at Digital Science, said the value is in scale. "Medical affairs teams and enterprise clients do not just need to know if research was cited. They need to know who is engaging with it, how it is being discussed, and what it is influencing. The Altmetric MCP delivers that intelligence directly inside their preferred AI tools - no separate platforms, no manual aggregation. Doing that at scale, across an entire portfolio rather than paper by paper, is where the real value lies for professionals in pharma, biotech, and life sciences."
Carlos Areia, Senior Data Scientist at Digital Science, pointed to the speed and breadth of the data. "Altmetric data helps us understand the lifecycle of research attention, and how it is received and used around the world. It can support medical affairs teams, demonstrating value and strategic impact by seamlessly gathering all research mentions through the Altmetric MCP; showing, for example, how their trials are being used by clinical guidelines, if they are getting a lot of traction by news outlets, or receiving overwhelmingly positive reaction on social media. This information is all in a single place and is often available just hours post publication."
Why this matters for science and research professionals
For funders and institutions, this shifts impact reporting from a manual, paper-by-paper exercise to an automated, portfolio-wide view. For medical affairs teams in pharma and biotech, it connects internal research to external conversations in clinical guidelines and the news. Professionals seeking AI training for Research can find relevant options.
Teams already using AI tools can add this capability without custom integration work. It fits into the same category as MCP Courses that show how to connect AI models to specific data sources.
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