ClinicalTrials-MCP-Server
The ClinicalTrials MCP Server provides a model context protocol interface for AI assistants to access and search data from ClinicalTrials.gov. It supports trial search, metadata retrieval, and CSV management, facilitating health sciences research and analysis.
ClinicalTrials MCP Server
🔍 Enable AI assistants to search and access ClinicalTrials.gov data through a simple MCP interface.
The ClinicalTrials MCP Server provides a bridge between AI assistants and ClinicalTrials.gov's clinical trial repository through the Model Context Protocol (MCP). It allows AI models to search for clinical trials and access their content in a programmatic way.
🤝 Contribute • 📝 Report Bug
✨ Core 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 ✅
- 🗃️ Local Storage: Trials are saved locally for faster access ✅
- 📊 Statistics: Get statistics about clinical trials ✅
🚀 Quick Start
Installing via Smithery
To install ClinicalTrials Server for Claude Desktop automatically via Smithery:
Claude
npx -y @smithery/cli@latest install ClinicalTrials-mcp-server --client claude --config "{}"
Cursor
Paste the following into Settings → Cursor Settings → MCP → Add new server:
- Mac/Linux
npx -y @smithery/cli@latest run ClinicalTrials-mcp-server --client cursor --config "{}"
Windsurf
npx -y @smithery/cli@latest install ClinicalTrials-mcp-server --client windsurf --config "{}"
CLine
npx -y @smithery/cli@latest install ClinicalTrials-mcp-server --client cline --config "{}"
Installing Manually
Install using uv:
uv tool install ClinicalTrials-mcp-server
For development:
# Clone and set up development environment
git clone https://github.com/JackKuo666/ClinicalTrials-MCP-Server.git
cd ClinicalTrials-MCP-Server
# Create and activate virtual environment
uv venv
source .venv/bin/activate
uv pip install -r requirements.txt
📊 Usage
Start the MCP server:
python clinical_trials_server.py
Once the server is running, you can use the provided MCP tools in your AI assistant or application. Here are some examples of how to use the tools:
Example 1: Search for clinical trials using a search expression and save to CSV
result = await mcp.use_tool("search_clinical_trials_and_save_studies_to_csv", {
"search_expr": "COVID-19 vaccine efficacy",
"max_studies": 5
})
print(result)
Example 2: Get studies by keyword
result = await mcp.use_tool("get_studies_by_keyword", {
"keyword": "diabetes",
"max_studies": 10
})
print(result)
Example 3: Get full study details for a specific trial
result = await mcp.use_tool("get_full_study_details", {
"nct_id": "NCT04280705"
})
print(result)
Example 4: Search and save studies with custom fields
result = await mcp.use_tool("search_clinical_trials_and_save_studies_to_csv", {
"search_expr": "alzheimer",
"max_studies": 20,
"filename": "alzheimer_studies.csv",
"fields": ["NCT Number", "Study Title", "Brief Summary", "Conditions"]
})
print(result)
These examples demonstrate how to use the main tools provided by the ClinicalTrials MCP Server. Adjust the parameters as needed for your specific use case.
🛠 MCP Tools
The ClinicalTrials MCP Server provides the following tools:
search_clinical_trials_and_save_studies_to_csv
Search for clinical trials using a search expression and save the results to a CSV file.
Parameters:
search_expr
(str): Search expression (e.g., "Coronavirus+COVID")max_studies
(int, optional): Maximum number of studies to return (default: 10)save_csv
(bool, optional): Whether to save the results as a CSV file (default: True)filename
(str, optional): Name of the CSV file to save (default: corona_fields.csv)fields
(list, optional): List of fields to include (default: NCT Number, Conditions, Study Title, Brief Summary)
Returns: String representation of the search results
get_full_study_details
Get detailed information about a specific clinical trial.
Parameters:
nct_id
(str): The NCT ID of the clinical trial
Returns: String representation of the study details
get_studies_by_keyword
Get studies related to a specific keyword.
Parameters:
keyword
(str): Keyword to search formax_studies
(int, optional): Maximum number of studies to return (default: 20)save_csv
(bool, optional): Whether to save the results as a CSV file (default: True)filename
(str, optional): Name of the CSV file to save (default: keyword_results_{keyword}.csv)
Returns: String representation of the studies
get_study_statistics
Get statistics about clinical trials.
Parameters:
condition
(str, optional): Optional condition to filter by
Returns: String representation of the statistics
get_full_studies_and_save
Get full studies data and save to CSV.
Parameters:
search_expr
(str): Search expression (e.g., "Coronavirus+COVID")max_studies
(int, optional): Maximum number of studies to return (default: 20)filename
(str, optional): Name of the CSV file to save (default: full_studies.csv)
Returns: Message indicating the results were saved
load_csv_data
Load and display data from a CSV file.
Parameters:
filename
(str): Name of the CSV file to load
Returns: String representation of the CSV data
list_saved_csv_files
List all available CSV files in the current directory.
Returns: String representation of the available CSV files
🔍 MCP Resources
The ClinicalTrials MCP Server also provides the following resources:
clinicaltrials://corona_fields
Get the corona fields data as a resource.
clinicaltrials://full_studies
Get the full studies data as a resource.
clinicaltrials://csv/{filename}
Get data from a specific CSV file.
Parameters:
filename
(str): Name of the CSV file
clinicaltrials://available_files
Get a list of all available CSV files.
clinicaltrials://study/{nct_id}
Get a specific study by NCT ID.
Parameters:
nct_id
(str): The NCT ID of the clinical trial
clinicaltrials://condition/{condition}
Get studies related to a specific condition.
Parameters:
condition
(str): The condition to search for
Usage with Claude Desktop
Add this configuration to your claude_desktop_config.json
:
(Mac OS)
{
"mcpServers": {
"ClinicalTrials": {
"command": "python",
"args": ["-m", "ClinicalTrials-mcp-server"]
}
}
}
(Windows version):
{
"mcpServers": {
"ClinicalTrials": {
"command": "C:\\Users\\YOUR_USERNAME\\AppData\\Local\\Programs\\Python\\Python311\\python.exe",
"args": [
"-m",
"ClinicalTrials-mcp-server"
]
}
}
}
Using with Cline
{
"mcpServers": {
"ClinicalTrials": {
"command": "bash",
"args": [
"-c",
"source /home/YOUR/PATH/ClinicalTrials-MCP-Server/.venv/bin/activate && python /home/YOUR/PATH/ClinicalTrials-MCP-Server/clinical_trials_server.py"
],
"env": {},
"disabled": false,
"autoApprove": []
}
}
}
After restarting Claude Desktop, the following capabilities will be available:
Searching Clinical Trials
You can ask Claude to search for clinical trials using queries like:
Can you search for recent clinical trials about diabetes?
The search will return basic information about matching trials including:
• Trial title
• NCT Number
• Conditions
• Brief Summary
Getting Trial Details
Once you have an NCT ID, you can ask for more details:
Can you show me the details for trial NCT04280705?
This will return:
• Full trial title
• Conditions
• Brief Summary
• Other available details
📁 Project Structure
clinical_trials_server.py
: The main MCP server implementation using FastMCPclinical_trials.py
: Contains helper functions for interacting with the ClinicalTrials.gov API
🔧 Dependencies
- Python 3.10+
- FastMCP
- pytrials
- pandas
You can install the required dependencies using:
pip install FastMCP pytrials pandas
🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
📄 License
This project is licensed under the MIT License.
⚠️ Disclaimer
This tool is for research purposes only. Please respect ClinicalTrials.gov's terms of service and use this tool responsibly.