ToolEntry
Client
A conversational AI client for workflow automation. Create, schedule, and manage ToolEntry workflows through natural language chat.
Simple Chat Features
The ToolEntry Client simplifies workflow automation through natural conversation. Create, schedule, and manage workflows by simply describing what you need.
Just describe what you need
Create workflows powered by MCP servers through natural conversation. Workflows are structured with step-by-step instructions for AI execution.
Describe workflows in plain English
Tell the AI assistant what workflow you need and it creates MCP-powered step-by-step instructions
Generates standard ToolEntry workflows
Creates structured workflows that specify which MCP servers are needed and provides step-by-step instructions for reusability
Works with MCP servers
Workflows can specify any MCP server as a dependency, integrating with available tools in the MCP ecosystem
Cronjobs made simple
Schedule workflows to run automatically as cronjobs on your local machine. A local LLM orchestrates execution when triggered, ensuring intelligent automation without cloud dependencies.
Schedule through chat commands
Say 'run this daily at 9am' and it sets up the cronjob automatically
Local LLM orchestrates execution
When triggered by cronjobs, a local LLM intelligently executes your workflows
Fully autonomous operation
No cloud dependencies - your machine handles everything autonomously
Organize and control
Manage your local workflows and schedules through conversation or web UI. View status, edit schedules, and check execution logs.
List workflows and schedules
Ask 'what workflows do I have?' or 'what's scheduled for today?'
Modify schedules and workflows
Change timing, disable schedules, or update workflow steps through chat
Check execution logs
See if scheduled workflows ran successfully and view any errors
How It Works
The ToolEntry Client combines workflow creation with local LLM orchestration for intelligent, autonomous automation.
Chat Interface
Describe your automation needs in natural language
Tell the AI what you want to automate - no technical knowledge required
Workflow Generation
AI creates structured workflows with MCP servers
The AI understands your request and generates proper ToolEntry workflows
Local Scheduling
Set up cronjobs for automatic execution
Schedule when your workflows should run - daily, weekly, or custom timing
LLM Orchestration
Local LLM manages intelligent execution
When triggered, your local LLM autonomously executes workflows with full context
Built on MCP Standards
All workflows are built using the Model Context Protocol (MCP), enabling integration with hundreds of tools and services from the growing MCP ecosystem.
Development Roadmap
A simple development approach: build a chat client for ToolEntry workflows, get user feedback, then improve based on what we learn.
Build the Client
Phase 1
Create a simple chat client that can generate ToolEntry workflows and set up cronjob scheduling.
Key Features
Get Feedback
Phase 2
Release to early users and gather feedback on the chat interface and workflow creation experience.
Key Features
Improve & Polish
Phase 3
Refine the chat experience and workflow generation based on user feedback.
Key Features
Be the first to know when it's ready
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