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AdisInsight MCP Server

Springer Nature's official MCP server for AdisInsight, providing real-time drug, clinical trial, and pharma pipeline intelligence to AI assistants.

Healthcare & Life Sciences by Springer Nature OAuth2 active
Overview

AdisInsight MCP is Springer Nature's official Model Context Protocol server that connects AI assistants like Claude and ChatGPT to AdisInsight, a curated pharmaceutical intelligence database covering drug development, clinical trials, adverse drug reactions, regulatory milestones, and licensing activity. The server exposes the platform's content through MCP so agents can ground responses in licensed Adis data with preserved provenance, access controls, and usage tracking.

The server provides four specialized tools focused on two core entities: drugs and clinical trials. Search tools support over 100 combined filter parameters across drug name, therapeutic area, developer, mechanism, target, phase, sponsor, indication, location, demographics, and date ranges. Both search tools are HyDE-ready, supporting semantic retrieval in addition to structured filtering. Profile tools return comprehensive records including development history, adverse events, associated organizations, brand names, investigators, study centers, endpoints, and eligibility criteria, with vector-searched content chunks for targeted question answering.

Access is restricted to eligible institutional subscribers of AdisInsight, authenticated via OAuth 2.0 using existing AdisInsight credentials. The integration is purpose-built for regulated pharma and life sciences workflows, ensuring licensing terms and entitlements remain enforced when content flows into AI assistants.

Tools

Tool Description
search_drugs Search AdisInsight's drug database across 67 parameters including name, therapeutic area, developer, mechanism, target, and development phase. HyDE-ready for semantic search.
get_drug Retrieve a comprehensive drug profile including development history, adverse events, associated organizations, and brand names with vector-searched content chunks for targeted queries.
search_trials Search clinical trials by condition, sponsor, compound, phase, status, location, patient demographics, and date ranges across 42 parameters. HyDE-ready.
get_trial Retrieve a complete clinical trial profile including investigators, study centers, compounds, indications, endpoints, and eligibility criteria.
Setup Guide

Prerequisites

  • An active institutional AdisInsight subscription with valid credentials
  • An AI client that supports remote MCP servers with OAuth (Claude with Connectors, ChatGPT custom apps, or another MCP-compatible client)

Claude (Connectors)

  • Open Settings, Connectors, Add MCP Server
  • Server URL: https://adisinsight-mcp.springer.com/mcp
  • Complete the OAuth login with your AdisInsight credentials when prompted

ChatGPT

  • Open Settings, Apps, Advanced settings, Create App
  • Use the same server URL: https://adisinsight-mcp.springer.com/mcp
  • Authenticate via OAuth with your AdisInsight credentials

Generic MCP client config

For clients that accept remote MCP server configuration:

{
  "mcpServers": {
    "adisinsight": {
      "url": "https://adisinsight-mcp.springer.com/mcp",
      "transport": "http"
    }
  }
}

Endpoints exposed by the server

  • POST /mcp for JSON-RPC
  • GET /sse for Server-Sent Events
  • GET /.well-known/oauth-authorization-server for OAuth discovery
  • GET /health for health checks
Use Cases
  • Build a competitive pipeline view for a therapeutic area by searching drugs by mechanism and phase, then pulling full profiles for each candidate
  • Surface adverse event history and development milestones for a specific drug to support pharmacovigilance or due diligence work
  • Identify active clinical trials for a target indication by sponsor, phase, status, and geography, then drill into eligibility criteria and endpoints
  • Scout licensing and M&A opportunities by filtering drugs by developer, stage, and regulatory milestones
  • Power AskAdis-style conversational research inside Claude or ChatGPT for medical affairs, BD, and regulatory teams
Example Prompts
  • "Find Phase 3 oncology drugs targeting KRAS G12C with their lead developers and current status"
  • "Pull the full AdisInsight profile for sotorasib, including adverse events and regulatory milestones"
  • "List active clinical trials for non-small-cell lung cancer sponsored by Roche in the EU, Phase 2 or later"
  • "Summarize the endpoints, investigators, and eligibility criteria for trial NCT04685135"
  • "Show me all drugs in development for Alzheimer's that hit amyloid-beta or tau, grouped by phase"
Pros
  • Official, vendor-maintained server from Springer Nature with direct access to licensed AdisInsight content
  • Comprehensive coverage of drugs and clinical trials with 100+ filter parameters across the two search tools
  • HyDE-ready semantic search alongside structured filtering, with vector-chunked profile retrieval for targeted Q&A
  • OAuth 2.0 with preserved provenance, access controls, and usage tracking suitable for regulated pharma workflows
Limitations
  • Requires an active institutional AdisInsight subscription; not available to the general public
  • Limited to four tools focused on drugs and trials, with no exposed endpoints for broader Springer Nature content such as Adis journals or full ADR reports beyond what is embedded in drug profiles
  • Public documentation is thin on exact parameter schemas and rate limits; deeper integration details require contact with Springer Nature
Alternatives
  • ClinicalTrials.gov community MCP servers for free trial registry data, without Adis curation
  • Citeline / Pharmaprojects (Norstella) for similar commercial pipeline intelligence, no official MCP server at this time
  • PubMed MCP servers for open biomedical literature search as a complement to AdisInsight