Claude Todo Emulator▌
by joehaddad2000
Claude Todo Emulator provides persistent task management with unique IDs, one in-progress task rule, and workspace-local
Emulates Claude Code's task management system with persistent todo functionality, providing workspace-local storage and validation rules that ensure unique IDs and allow only one in-progress task at a time.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Developers using Cursor, Windsurf, or other IDEs
- / Managing complex multi-step coding projects
- / Tracking progress when switching between projects
capabilities
- / Read current task lists
- / Update entire task lists
- / Track multi-step coding tasks across sessions
- / Enforce single in-progress task focus
- / Break down large features into manageable pieces
what it does
Adds persistent todo list functionality to AI coding assistants, replicating Claude Code's task management system with workspace-local storage.
about
Claude Todo Emulator is a community-built MCP server published by joehaddad2000 that provides AI assistants with tools and capabilities via the Model Context Protocol. Claude Todo Emulator provides persistent task management with unique IDs, one in-progress task rule, and workspace-local It is categorized under productivity. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install Claude Todo Emulator in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Claude Todo Emulator is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Claude Todo MCP Server
Add persistent task management to any AI coding assistant in Cursor, Windsurf, and other IDEs.
This MCP server replicates Claude Code's todo system, giving your AI assistant the ability to:
- Track complex multi-step tasks across sessions
- Break down large features into manageable pieces
- Remember progress when you switch between projects
- Enforce single in-progress task focus
Quick Start
No installation required! Just add this to your MCP configuration:
Cursor IDE
Create .cursor/mcp.json in your project root:
{
"mcpServers": {
"task-manager": {
"command": "uvx",
"args": ["claude-todo-emulator"]
}
}
}
Codex CLI
Create config.toml at your project root:
[mcp_servers.task-manager]
command = "uvx"
args = ["claude-todo-emulator"]
Other IDEs
Add the JSON configuration above to your MCP settings file.
Restart your IDE and try: "Create a todo list for adding user authentication"
The system automatically downloads the package and sets up everything on first use!
What You Get
Once configured, your AI assistant will automatically:
Create todos for complex tasks:
You: "Add dark mode support with user preferences"
AI: "I'll create a todo list for this multi-step feature:
- ✅ Add theme context and state management
- 🔄 Create dark mode CSS variables and styles
- ⏳ Build settings UI for theme switching
- ⏳ Add persistence to localStorage
- ⏳ Update existing components for theme support"
Track progress visually:
You: "What's the status on the authentication system?"
AI: "Current authentication tasks:
- ✅ Set up JWT middleware
- ✅ Create login/signup endpoints
- 🔄 Building user profile management (in progress)
- ⏳ Add password reset flow
- ⏳ Implement role-based permissions"
Maintain focus:
You: "Let's also add email notifications"
AI: "I'll add that to the todo list, but let me finish the current user profile task first to maintain focus."
API Reference
TodoRead
- Parameters: None
- Returns:
{todos: Todo[]}
TodoWrite
- Parameters:
{todos: Todo[]} - Returns:
{success: boolean, count: number}
Todo Schema
{
id: string;
content: string;
status: "pending" | "in_progress" | "completed";
priority: "high" | "medium" | "low";
created_at: string;
updated_at: string;
metadata?: object;
}
Contributing
- Fork the repository
- Create a feature branch
- Add tests for new functionality
- Submit a pull request
License
MIT License - see LICENSE file for details.
Related Projects
FAQ
- What is the Claude Todo Emulator MCP server?
- Claude Todo Emulator is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Claude Todo Emulator?
- This profile displays 33 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.5★★★★★33 reviews- ★★★★★Zaid Taylor· Dec 24, 2024
Strong directory entry: Claude Todo Emulator surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Aanya Bhatia· Dec 4, 2024
Claude Todo Emulator is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Daniel Rahman· Nov 23, 2024
Claude Todo Emulator is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Ishan Lopez· Nov 19, 2024
Claude Todo Emulator reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Zaid Sethi· Nov 15, 2024
Claude Todo Emulator has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Kabir Abbas· Oct 10, 2024
Useful MCP listing: Claude Todo Emulator is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Ama Rahman· Oct 6, 2024
According to our notes, Claude Todo Emulator benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Chinedu Bhatia· Sep 25, 2024
We wired Claude Todo Emulator into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Diego Anderson· Sep 21, 2024
Claude Todo Emulator is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Piyush G· Sep 1, 2024
I recommend Claude Todo Emulator for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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