Medical Research MCP Suite

Medical Research MCP Suite is an MCP server that connects large language model clients directly to ClinicalTrials.gov, PubMed, and the FDA databases. Designed for clinical researchers, pharmacologists, healthcare analysts, and life science teams, the server bridges disparate biomedical data repositories into a single analytical interface. By integrating these three sources, it enables users to execute automated literature searches, retrieve real-time clinical trial protocols using NCT identifiers, monitor drug approvals, and evaluate FDA adverse event reports without manually querying each portal. In addition to single-source lookup tools, the suite provides cross-database intelligence capabilities, including algorithmic drug safety profiling, clinical pipeline analysis, and competitive landscape assessments. The server incorporates built-in caching for clinical trials and published literature, client-side rate limiting to avoid API quota exhaustion, and structured logging for research workflows. Through its Model Context Protocol interface, teams can evaluate complex drug candidates across published academic literature, active clinical interventions, and post-market surveillance data in conversational research environments.

Category: Data & Analytics

Tags: clinical-trials, fda, healthcare, medical, pubmed

Visit Medical Research MCP Suite

How to install and configure Medical Research MCP Suite

1. Clone the repository and enter the directory: bash git clone https://github.com/eugenezhou/medical-research-mcp-suite.git cd medical-research-mcp-suite 2. Install dependencies and compile the TypeScript code: bash npm install cp .env.example .env npm run build 3. Register the server in your claude_desktop_config.json file: json { "mcpServers": { "medical-research": { "command": "node", "args": ["/path/to/medical-research-mcp-suite/dist/index.js"], "env": { "PUBMED_API_KEY": "your_key_here", "FDA_API_KEY": "your_key_here" } } } } 4. Update the path to dist/index.js with your absolute file path and restart Claude Desktop.

What you can do with Medical Research MCP Suite

• Investigating drug safety profiles across ClinicalTrials.gov study records and FDA adverse event reports to assess therapeutic risks before clinical trials. - Running cross-database competitive landscape queries to benchmark emerging pharmaceutical pipelines, clinical intervention statuses, and market positioning across specific diseases. - Searching PubMed literature and extracting peer-reviewed publications relevant to specific drug interventions, patient cohorts, and therapeutic mechanisms. - Retrieving structured clinical trial details by NCT identifier to evaluate recruitment statuses, study phase data, and intervention parameters. - Analyzing multi-database strategic data on active therapeutics to compile regulatory history, published findings, and ongoing clinical evaluations.

Key facts

• https://github.com/ezhou89/medical-research-mcp-suite
• Data & Analytics, Web Search & Research
• clinical-trials, fda, healthcare, medical, pubmed

Part of MCP Servers

What databases does Medical Research MCP Suite connect to?

Medical Research MCP Suite integrates data from three primary public biomedical resources: ClinicalTrials.gov, PubMed, and the FDA databases. This setup allows client applications to query over 400,000 clinical trial records, tens of millions of biomedical research papers, and tens of thousands of approved drug products alongside post-market adverse event records directly from an MCP-compatible environment.

How do I configure Medical Research MCP Suite in Claude Desktop?

You configure the suite by cloning its repository, running npm install and npm run build, and adding a medical-research server entry to your claude_desktop_config.json file. Point the command to node and provide the absolute path to dist/index.js in the args array. You can also specify PUBMED_API_KEY and FDA_API_KEY in the env block.

What tools are available in Medical Research MCP Suite?

The suite provides single-database tools like ct_search_trials, ct_get_study, pm_search_papers, fda_search_drugs, and fda_adverse_events. It also includes composite intelligence tools like research_comprehensive_analysis, research_drug_safety_profile, and research_competitive_landscape, which automatically synthesize records across trials, literature, and FDA databases.

Is Medical Research MCP Suite open source?

Yes, Medical Research MCP Suite is open-source software released under the MIT License. You can inspect the source code, contribute enhancements, and deploy the server locally or in containerized environments by visiting the project repository on GitHub.