MCP server for integrating Limitless AI Pendant recordings with AI assistants
{
"mcpServers": {
"limitless-ai-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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MCP server for integrating Limitless AI Pendant recordings with AI assistants
Is it safe?
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No authentication — any process on your machine can connect.
MIT. View license →
Is it maintained?
Last commit 302 days ago. 11 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
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An advanced Model Context Protocol (MCP) server that enables AI assistants to interact with Limitless AI Pendant recordings. This server provides a seamless bridge between your AI tools and Limitless API, allowing you to extract insights, search through recordings, and analyze your Pendant data.
⚠️ Beta Release: This is an early release (v0.0.1). While core features are implemented and tested, we need community feedback to validate all functionality. Please report any issues!
git clone https://github.com/ericbuess/limitless-ai-mcp-server.git
cd limitless-ai-mcp-server
npm install
npm run build
claude mcp add limitless -s user -e LIMITLESS_API_KEY="your-key" -- node $(pwd)/dist/index.js
npm install -g limitless-ai-mcp-server
# Clone the repository
git clone https://github.com/ericbuess/limitless-ai-mcp-server.git
cd limitless-ai-mcp-server
# Install dependencies
npm install
# Build the project
npm run build
# Optional: Link globally
npm link
# Add to your shell profile (.bashrc, .zshrc, etc.)
export LIMITLESS_API_KEY="your-api-key-here"
# Optional: Configure custom settings
export LIMITLESS_TIMEOUT=120000 # Timeout in milliseconds
export LIMITLESS_BASE_URL="https://api.limitless.ai/v1" # Custom API endpoint
export LOG_LEVEL="INFO" # Options: DEBUG, INFO, WARN, ERROR
# Optional: Configure caching
export CACHE_MAX_SIZE=100 # Maximum cached items
export CACHE_TTL=300000 # Cache lifetime in ms (5 minutes)
export SEARCH_CACHE_MAX_SIZE=50 # Search cache size
export SEARCH_CACHE_TTL=180000 # Search cache lifetime (3 minutes)
If you're using Claude Code (Anthropic's official CLI), run:
#
... [View full README on GitHub](https://github.com/ericbuess/limitless-ai-mcp-server#readme)