mcpField
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Asr_mcp_server

Asr_mcp_server

Local
github.com/vidau-aiMedia & Design1Updated 82w ago
Repository

About Asr_mcp_server

Asr_mcp_server is a Python MCP server for speech recognition using the whisper engine. Its README also describes TTS tools, but provides no details about their operation.

Key features

  1. 01Whisper-based speech recognition
  2. 02MCP tools for TTS

Use cases

  1. 01Adding whisper speech recognition to an MCP workflow
  2. 02Calling TTS functionality through MCP tools

MCP support

Exposes speech-related functionality through MCP tools. The README describes ASR using whisper and mentions TTS, without specifying the TTS implementation.

#asr#speech-recognition#text-to-speech

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README
ASR MCP Server

A Model Context Protocol (MCP) server that provides ASR(Automatic Speech Recognition) capabilities using the whisper engine. This server exposes TTS functionality through MCP tools, making it easy to integrate speech synthesis into your applications.

Prerequisites
  • Python 3.10 or higher
  • uv package manager
  • openai whisper
MCP Configuration
{
  "mcpServers": {
    "asr_mcp_server": {
      "command": "/YOUR_CONDA_PATH/bin/uv",
      "args": [
        "--directory",
        "/YOUR_PATH/asr_mcp_server",
        "run",
        "asr_server.py"
      ]
    }
  }
}
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Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.