zntl-mcp-server
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A Model Context Protocol (MCP) server implementation for the Transcripter project, providing AI-powered features using the MCP standard.
The MCP Server for Transcripter is a robust implementation designed to enhance the Transcripter project with AI-driven capabilities. It leverages the Model Context Protocol (MCP) standard to facilitate seamless interactions with AI models, offering tools and resources that streamline transcription and analysis processes. The server supports various functionalities, including testing API endpoints, searching and summarizing transcriptions, and accessing transcription and analysis data by ID. Built on Node.js, it ensures compatibility with modern JavaScript environments and provides a flexible architecture for developers to integrate AI features into their applications. The server is designed to be easily deployable and configurable, allowing users to start it on default or custom ports. With a focus on providing a standardized interface for AI model interactions, the MCP Server for Transcripter is an essential component for projects requiring advanced transcription and analysis capabilities.
Features
- Test API endpoints and return the results
- Search transcriptions with filtering and pagination
- Generate a summary of a transcription using AI
- Access transcription data by ID
- Access analysis data by ID
Tools
test-api
Test API endpoints and return the results
transcription-search
Search transcriptions with filtering and pagination
transcription-summary
Generate a summary of a transcription using AI