
Votars MCP
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,
README
Votars MCP
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
- Go to Votars.AI and register.
- Navigate to your workspace's
Settings
. - Create an API Key under the API Key management section.
Roadmap
- Current Support: Go
- Planned Support: Python, JavaScript, Rust, etc.
License
MIT License
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.