Supercharge your AI agents with the world’s most comprehensive research data.
Organizations are under pressure to move faster: faster competitive analysis, faster funding intelligence, faster publication monitoring. The AI tools are in place. The workflows are built. But the data feeding those agents is incomplete, outdated, or locked behind fragmented integrations that require significant engineering overhead to maintain.
Digital Science has launched two Model Context Protocol servers that give your AI agents direct, license-aligned access to the research data that enterprise workflows actually depend on: Dimensions Analytics MCP and Dimensions Semantic Search MCP. Together, they form a complete research intelligence stack: discovery and precision, both accessible inside the AI tools your teams already use.
The research intelligence stack your AI workflows have been missing. Two MCPs, one connected ecosystem.
430M+ interconnected records across publications, grants, patents, clinical trials, datasets, and policy documents in Dimensions
40+ life science ontological domains resolved automatically by Dimensions Semantic Search MCP
2 complementary MCPs covering the full research intelligence pipeline: ecosystem and precision content retrieval
Dimensions Analytics MCP: The full research ecosystem, agent-ready
Your AI agents can now query the world’s largest linked research database directly, in natural language or programmatic DSL, without custom integration work.
- Retrieve researcher and organisation profiles aggregating publications, grants, and citation data in a single query
- Run funding landscape analysis, top funders, grant trends, and award sizes, across any topic or geography
- Execute cross-entity intelligence linking outputs, people, organisations, and funding sources
- Perform tech foresight and competitive landscaping across the full scope of global research activity
- Available immediately to all existing Dimensions API subscribers without the need for a new licence or additional setup beyond connecting your API key
Dimensions Semantic Search MCP: Precision Retrieval for Life Science Intelligence
Keyword search fails in life science. Terminology is hierarchical, inconsistent, and deeply specialist. Dimensions Semantic Search resolves what you mean, not just what you typed.
- Queries resolve through ontological concept annotations; “cancer” surfaces every indexed subtype automatically, “PFAS” expands to PFOS, PFOA, PFHxS, and all related compounds without extra effort
- Sentence-level co-occurrence analysis reveals which drugs, diseases, and compounds appear together across entire repositories, surfacing relationships that standard retrieval cannot find
- Section-restricted search lets agents query titles, abstracts, claims, or descriptions independently for surgical precision
- Supports drug–disease co-occurrence mining, clinical evidence discovery, safety and toxicology review, and freedom-to-operate patent analysis
- HTTP-native connection; no local binary installation required, compatible with Claude, ChatGPT, VS Code, Cursor, and all major AI platforms
Connect your AI agents to the research intelligence stack
Ready to improve the data your AI runs on? Get in touch with our team to find out more.