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MCP Server for Transcripter

@MCP-Mirror

Repository

Basic information

Category

Other

Transports

stdio

Author

MCP-Mirror

About MCP Server for Transcripter

Mirror of

#mcp#transcription#ai-tools

MCP Server for Transcripter config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

MCP Server for Transcripter tools

3

Test API endpoints and return the results

Search transcriptions with filtering and pagination

Generate a summary of a transcription using AI

Overview

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

Frequently asked questions

1

What runtime and package manager are required?

Node.js 18.0.0 or higher and npm 7.0.0 or higher are required.

2

How does the server communicate with clients?

The server uses Server‑Sent Events (SSE) for streaming and a message endpoint (`/message`) for receiving client commands.

3

What tools and resources are available?

Three tools: `test-api`, `transcription-search`, `transcription-summary`. Two resource URI patterns: `transcription://{id}` and `analysis://{id}`.

4

Can I run the server on a custom port?

Yes. Pass the desired port as a command‑line argument to `npm run server`, e.g., `npm run server 4000`.

5

Is authentication or authorization mentioned in the documentation?

No. The README does not describe any authentication or authorization mechanisms.

Comments

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