MCP Server for Transcripter: AI-Powered Transcription & Enterprise Security

How to Use MCP Server for Transcripter: AI-Powered Transcription & Enterprise Security?

# Install dependencies
npm install

# Build for production (both module formats)
npm run build

# Launch server on custom port (default: 3500)
npm run server 3001

import { Client, SSEClientTransport } from "@modelcontextprotocol/sdk/client";

async function fetchTranscription(id) {
  const transport = new SSEClientTransport("http://localhost:3500/sse", "http://localhost:3500/message");
  const client = new Client();
  await client.connect(transport);

  // Retrieve transcription data
  const data = await client.resources.get(`transcription://${id}`);
  return data;
}

Use Cases of MCP Server for Transcripter: AI-Powered Transcription & Enterprise Security?

Imagine this scenario: A legal firm needs to analyze thousands of deposition transcripts to identify recurring themes. Using the transcription-search tool with advanced filters, analysts can quickly isolate relevant segments. Meanwhile, the transcription-summary

FAQ from MCP Server for Transcripter: AI-Powered Transcription & Enterprise Security?

Does this require Node.js 18+?

Yes. The server leverages modern ES modules and performance optimizations only available in Node.js 18+. Older versions may cause compatibility issues.

How is security enforced?

All resource access requires valid credentials, and sensitive operations (e.g., transcription modification) are blocked by default unless explicitly permitted in server configuration.

Can I extend the tools/resources?

Absolutely. The modular design allows developers to implement custom tools in src/tools/ and resources in src/resources/ directories following the MCP specification.

MCP Server for Transcripter

A Model Context Protocol (MCP) server implementation for the Transcripter project. This package provides tools and resources for AI-powered features using the MCP standard.

Features

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

Resources

• transcription://{id} : Access transcription data by ID
• analysis://{id} : Access analysis data by ID

Requirements

• Node.js >= 18.0.0
• npm >= 7.0.0

Installation

npm install

Building

# Build for both ESM and CommonJS
npm run build

# Build for ESM only
npm run build:esm

# Build for CommonJS only
npm run build:cjs

Running

# Start the MCP server on the default port (3500)
npm run server

# Start the MCP server on a custom port
npm run server 4000

Testing

npm test

Usage Examples

Using the test-api tool

import { Client } from "@modelcontextprotocol/sdk/client";
import { SSEClientTransport } from "@modelcontextprotocol/sdk/client/sse";

async function testApiEndpoint() {
  // Connect to the MCP server
  const transport = new SSEClientTransport("http://localhost:3500/sse", "http://localhost:3500/message");
  const client = new Client();
  await client.connect(transport);
  
  // Use the test-api tool
  const result = await client.tools.execute("test-api", {
    endpoint: "transcriptions",
    method: "GET",
  });
  
  console.log(result);
}

Using the transcription resource

import { Client } from "@modelcontextprotocol/sdk/client";
import { SSEClientTransport } from "@modelcontextprotocol/sdk/client/sse";

async function getTranscription(id: number) {
  // Connect to the MCP server
  const transport = new SSEClientTransport("http://localhost:3500/sse", "http://localhost:3500/message");
  const client = new Client();
  await client.connect(transport);
  
  // Access the transcription resource
  const transcription = await client.resources.get(`transcription://${id}`);
  
  console.log(transcription);
}

Integration with Transcripter

This MCP server integrates with the Transcripter project to provide AI-powered features for transcriptions and analyses. It serves as a standardized interface for AI model interactions.

Project Structure

• src/cli.ts: Command-line interface for starting the MCP server
• src/tools/: Implementation of MCP tools
• src/resources/: Implementation of MCP resource providers
• src/tests/: Tests for tools and resources

License

MIT