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@infinohq/infino
Advanced tools
Infino CLI and Model Context Protocol (MCP) server for AI assistants like Claude and Cursor.
npm install -g @infinohq/infino
npm install --save-dev @infinohq/infino
# Then run with npx
npx infino
# Run directly without installing
npx @infinohq/infino
# Or for specific commands
npx @infinohq/infino whoami
npx @infinohq/infino capture start
# Set environment variables
export INFINO_ACCESS_KEY="your_access_key"
export INFINO_SECRET_KEY="your_secret_key"
export INFINO_ENDPOINT="https://api.infino.ws:443" # optional
# Save to credential file
infino creds
infino whoami
infino # Starts MCP server on stdio
Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"infino": {
"command": "npx",
"args": ["-y", "@infinohq/infino"]
}
}
}
Add to your Cursor MCP configuration (~/.cursor/mcp.json):
{
"mcpServers": {
"infino": {
"command": "npx",
"args": ["-y", "@infinohq/infino"]
}
}
}
infino - Start MCP server (default)infino creds - Save environment variables to credential fileinfino whoami - Show current authentication statusinfino capture start - Start context capture daemoninfino capture start -f - Start context capture in foreground (debug mode)infino capture stop - Stop context capture daemoninfino capture status - Check capture statusinfino version - Show versioninfino help - Show help messageThe package can capture and upload context data to Infino for analysis:
# Start capture daemon (runs in background)
infino capture start
# Start with specific workspace path
infino capture start -w /path/to/your/project
# Check status
infino capture status
# Stop capture
infino capture stop
# Debug mode (runs in foreground)
infino capture start -f
# Debug mode with specific workspace
infino capture start -f -w /path/to/your/project
-f, --foreground - Run in foreground mode for debugging-w, --workspace PATH - Set workspace path for git collection (default: current directory)-e, --endpoint URL - Override Infino endpoint URL for data uploadCurrently collects:
~/.infino/context/terminal/kubectl)Data is uploaded to datasets prefixed with infino-dev-context-:
To capture terminal commands and outputs, configure your shell:
For bash/zsh, add to ~/.bashrc or ~/.zshrc:
export PROMPT_COMMAND='echo "$(date +%s): $(history 1)" >> ~/.infino/context/terminal/shell_$(date +%Y%m%d).log'
The package uses the following priority for credentials:
~/.infino/credentials.json (global credential file)INFINO_ACCESS_KEY, INFINO_SECRET_KEY)When running as an MCP server, the following tools are available:
infino_query_natural_language - Search using natural languageinfino_chat_history - Search chat transcriptsinfino_query_sql - Execute SQL queriesinfino_list_datasets - List all datasetsinfino_get_dataset_metadata - Get dataset metadatainfino_get_dataset_schema - Get dataset schemainfino_create_dataset - Create new datasetinfino_upload_json - Upload JSON datainfino_upload_metrics - Upload metrics datainfino_upload_cursor_chat - Upload chat messagesinfino_list_threads - List conversation threadsinfino_create_thread - Create new threadThis package is part of the Infino project.
MIT
FAQs
Infino CLI and MCP server for AI assistants
We found that @infinohq/infino demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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