What does Mutation Clinical Trial Matching do?

It identifies and summarizes clinical trials from clinicaltrials.gov that match specific genetic mutations, accessible via Claude Desktop.

What is the PocketFlow Node pattern?

PocketFlow Node pattern is a modular approach for building AI workflows, used for querying and summarizing trial data. It separates preparation, execution, and post-processing steps.

How is the clinical trial data summarized?

The tool organizes trials by phase and extracts key information, such as NCT ID, summary, and conditions, presenting it in a readable markdown format.

How does it integrate with Claude Desktop?

It uses the Model Context Protocol (MCP) to act as a tool within Claude Desktop, responding to natural language queries about mutations and trials.

What kind of mutation information does it provide?

The tool offers contextual resources for common mutations, helping users understand the genetic context of relevant clinical trials.

Mutation Clinical Trial Matching

Name: Mutation Clinical Trial Matching
Author: pickleton89

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Identifies mutation-specific clinical trials from clinicaltrials.gov based on genetic mutations.

This tool is an MCP server designed to empower Claude Desktop with the ability to search clinicaltrials.gov for relevant clinical trials based on specific genetic mutations. Following Agentic Coding principles, it allows users to query for trials using natural language, receive summarized information, and access resources on common mutations. The system leverages a PocketFlow Node pattern for modularity and maintainability, handling API calls, data summarization, and communication with Claude Desktop to facilitate precision medicine and oncology research.

Key Features

01Integrates with Claude Desktop using the Model Context Protocol

02Queries clinicaltrials.gov API based on genetic mutations

03Summarizes clinical trial data, organizing trials by phase

04Provides contextual resources for common mutations

05Implements the PocketFlow Node pattern for modularity

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Use Cases

01Assist oncologists in identifying relevant clinical trials for patients with specific mutations

02Enable researchers to quickly find and analyze clinical trials related to genetic mutations

03Provide patients with information about clinical trial options based on their genetic profile