MCP ExplorerExplorer

Votars Mcp

@scarletlabs-aion a year ago
28 MIT
FreeCommunity
AI Systems
MCP for https://votars.ai

Overview

What is Votars Mcp

Votars-MCP is a tool designed to support multiple language implementations of the Votars MCP server, currently available in Go. It allows seamless integration with the Votars AI platform for various processing tasks.

Use cases

Use cases include developing applications for meeting transcription, real-time translation, AI summarization, and content generation, leveraging the robust APIs provided by Votars.

How to use

To use Votars-MCP, developers can install the Go version and utilize its two interaction modes: Server-Sent Events (sse) and Standard Input/Output (stdio) for efficient communication with the Votars AI platform.

Key features

Key features include easy integration with Votars, a modular design for extensibility, and supported MCP tools such as Votars_fetch_recent_transcripts and Votars_fetch_a_specific_transcript for accessing and retrieving transcripts.

Where to use

Votars-MCP can be used in applications that require voice recording, transcription, and advanced AI processing, particularly in multilingual environments.

Content

Votars Logo

Votars MCP

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Overview

Votars-MCP is a tool that supports multiple language implementations of the Votars MCP server. Currently, only the Go version is available, with other languages to be added in future releases. It supports two interaction modes: sse (Server-Sent Events) and stdio (Standard Input/Output). It is designed to provide seamless integration with the Votars AI platform for processing various tasks.

About Votars

Votars is the world’s smartest multilingual meeting assistant, designed for voice recording, transcription, and advanced AI processing. It features real-time translation, intelligent error correction, AI summarization, smart content generation, and AI discussions. The Votars app is available on Web, iOS, and Android.

Additionally, Votars is an AI-powered platform that enables developers to integrate advanced AI functionalities into their applications. By leveraging Votars, you can process complex tasks efficiently with robust APIs designed for high performance and scalability.

Features

  • Easy Integration with Votars

  • Modular Design: Ready to be extended with additional functionalities.

  • Supported MCP Tools:

    • Votars_fetch_recent_transcripts: Allows users to read recent transcripts from their workspace, providing convenient access to the latest recorded sessions.
    • Votars_fetch_a_specific_transcript: Enables users to retrieve specific transcripts by providing a transcript ID, allowing targeted retrieval of stored data.

    More functionalities will be added soon. Stay tuned!

Installation (Go MCP)

Installing via Smithery

To install votars-mcp for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @scarletlabs-ai/votars-mcp --client claude

Manual Installation

To install the Go version of Votars MCP from the GitHub repository, use:

 go install github.com/scarletlabs-ai/Votars-MCP/go/votars-mcp@latest

Usage (Go MCP)

Run MCP Service

Before using the sse mode, you need to run the MCP server. Open a terminal and run:

votars-mcp -t sse -p 8080

This command starts the MCP service on port 8080, ready to accept sse requests.

1. SSE Mode

For sse mode, you need to provide the API key via request headers in the configuration file.

Configuration file example (mcp.config.json):

{
  "mcpServers": {
    "Votars MCP": {
      "type": "sse",
      "url": "http://0.0.0.0:8080/sse",
      "headers": {
        "Authorization": "Bearer <your-api-key>"
      }
    }
  }
}

2. Stdio Mode

For stdio mode, set the API key as an environment variable.

Configuration file example (mcp.config.json):

{
  "mcpServers": {
    "Votars MCP Stdio": {
      "type": "stdio",
      "command": "votars-mcp",
      "args": [
        "-t",
        "stdio"
      ],
      "env": {
        "VOTARS_API_KEY": "<your-api-key>"
      }
    }
  }
}

Obtaining Your API Key

  1. Go to Votars.AI and register.
  2. Navigate to your workspace’s Settings.
  3. Create an API Key under the API Key management section.

manage apikey

Roadmap

  • Current Support: Go
  • Planned Support: Python, JavaScript, Rust, etc.

License

MIT License

Tools

No tools

Comments

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