ClinicalTrials-MCP-Server

ClinicalTrials-MCP-Server

3.6
research_and_data

If you are the rightful owner of ClinicalTrials-MCP-Server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcpreview.com.

The ClinicalTrials MCP Server provides a bridge between AI assistants and ClinicalTrials.gov's clinical trial repository through the Model Context Protocol (MCP).

🏠📄

The ClinicalTrials MCP Server is designed to facilitate the interaction between AI models and the ClinicalTrials.gov database, allowing for efficient searching and retrieval of clinical trial data. By leveraging the Model Context Protocol (MCP), this server enables AI assistants to perform complex queries, access detailed metadata, and support health sciences research. The server supports various functionalities such as trial search, metadata access, and CSV management, making it a valuable tool for researchers and developers working with clinical trial data. It also offers local storage for faster access and provides statistical insights into clinical trials. The server can be easily integrated with different platforms, enhancing its versatility and usability.

Features

  • Trial Search: Query clinical trials with custom search strings or advanced search parameters.
  • Efficient Retrieval: Fast access to trial metadata.
  • Metadata Access: Retrieve detailed metadata for specific trials using NCT ID.
  • Research Support: Facilitate health sciences research and analysis.
  • CSV Management: Save, load, and list CSV files with trial data.

Tools

  1. search_clinical_trials_and_save_studies_to_csv

    Search for clinical trials using a search expression and save the results to a CSV file.

  2. get_full_study_details

    Get detailed information about a specific clinical trial.

  3. get_studies_by_keyword

    Get studies related to a specific keyword.

  4. get_study_statistics

    Get statistics about clinical trials.

  5. get_full_studies_and_save

    Get full studies data and save to CSV.

  6. load_csv_data

    Load and display data from a CSV file.

  7. list_saved_csv_files

    List all available CSV files in the current directory.

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