MCP Server for Transcripter

What is MCP Server for Transcripter?

MCP Server for Transcripter is a Model Context Protocol (MCP) server implementation that provides tools and resources for AI‑powered features within the Transcripter project. It acts as a standardized interface for AI model interactions, offering API testing, transcription search and summarization, and access to transcription and analysis data via resource URIs.

How to use MCP Server for Transcripter?

Install via npm install, then build with npm run build. Start the server using npm run server (default port 3500, custom port can be specified as an argument). Connect using an MCP SDK client over SSE transport (endpoints: /sse and /message). Tools are invoked via client.tools.execute(), and resources are accessed via client.resources.get().

Key features of MCP Server for Transcripter

• test-api tool for testing API endpoints
• transcription-search tool with filtering and pagination
• transcription-summary tool for AI‑powered summarization
• Resource URIs: transcription://{id} and analysis://{id}
• SSE transport for MCP client communication
• Supports both ESM and CommonJS module builds

Use cases of MCP Server for Transcripter

• Integrate AI transcription search and summarization into an MCP‑compatible client
• Test API endpoints of the Transcripter project programmatically
• Access transcription or analysis data by ID from an AI assistant
• Build custom tools that interact with Transcripter’s data via MCP resources
• Run a standardized MCP server alongside the Transcripter project for AI model interoperability