Tasks▌

by flesler
Tasks offers project tracking software and time management tools using the Eisenhower Matrix across Markdown, JSON, and
Provides task management capabilities across Markdown, JSON, and YAML files with tools for creating, searching, updating, and summarizing tasks while automatically managing work-in-progress status transitions.
best for
- / AI assistants managing project tasks
- / Developers tracking work across different file formats
- / Teams wanting efficient task management with minimal API calls
capabilities
- / Create tasks in multiple file formats
- / Search tasks by status, text, or ID
- / Update task statuses in bulk
- / Track work-in-progress automatically
- / Generate task summaries by status
what it does
Manages tasks across Markdown, JSON, and YAML files with search, creation, and status tracking capabilities. Designed to minimize AI tool confusion and LLM API costs through batch operations.
about
Tasks is a community-built MCP server published by flesler that provides AI assistants with tools and capabilities via the Model Context Protocol. Tasks offers project tracking software and time management tools using the Eisenhower Matrix across Markdown, JSON, and It is categorized under productivity. This server exposes 5 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install Tasks 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
Tasks is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
MCP Tasks 📋
An efficient task manager. Designed to minimize tool confusion and maximize LLM budget efficiency while providing powerful search, filtering, and organization capabilities across multiple file formats (Markdown, JSON, YAML)
📚 Table of Contents
- ✨ Features
- 🚀 Quick Start
- 🤖 AI Integration Tips
- 🔧 Installation Examples
- 📁 Supported File Formats
- 🛠️ Available Tools
- 🎛️ Environment Variables
- 📊 File Formats
- 🖥️ Server Usage
- 💻 CLI Usage
- 🧪 Development
- 🛠️ Troubleshooting
- Why not let AI edit files directly?
- 🤝 Contributing
- 📄 License
- 🔗 Links
✨ Features
- ⚡ Ultra-efficient design: Minimal tool count (5 tools) to reduce AI confusion
- 🎯 Budget-optimized: Batch operations, smart defaults and auto-operations minimize LLM API calls
- 🚀 Multi-format support: Markdown (
.md), JSON (.json), and YAML (.yml) task files - 🔍 Powerful search: Case-insensitive text/status filtering with OR logic, and ID-based lookup
- 📊 Smart organization: Status-based filtering with customizable workflow states
- 🎯 Position-based indexing: Easy task ordering with 0-based insertion
- 📁 Multi-source support: Manage multiple task files simultaneously
- 🔄 Real-time updates: Changes persist automatically to your chosen format
- 🤖 Auto WIP management: Automatically manages work-in-progress task limits
- 🚫 Duplicate prevention: Automatically prevents duplicate tasks
- 🛡️ Type-safe: Full TypeScript support with Zod validation
- 🔒 Ultra-safe: AI has no way to rewrite or delete your tasks (unless you enable it), only add and move them
- 📅 Optional reminders: Enable a dedicated Reminders section the AI constantly sees and can maintain
🚀 Quick Start
Add this to ~/.cursor/mcp.json for Cursor, ~/.config/claude_desktop_config.json for Claude Desktop.
Option 1: NPX (Recommended)
{
"mcpServers": {
"mcp-tasks": {
"command": "npx",
"args": ["-y", "mcp-tasks"]
}
}
}
Option 2: Docker
{
"mcpServers": {
"mcp-tasks": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"flesler/mcp-tasks"
]
}
}
}
🤖 AI Integration Tips
To encourage the AI to use these tools, you can start with a prompt like the following, with any path you want with .md (recommended), .json, .yml:
Use mcp-tasks tools to track our work in path/to/tasks.md
If you are telling it about new or updated tasks, you can append this to the end of your prompt:
use mcp-tasks
Adding tasks while AI works: To safely add tasks without interfering with AI operations, use the CLI from a separate terminal:
npx mcp-tasks add "Your new task text" "To Do" 0
🔧 Installation Examples
Full configuration with custom environment:
{
"mcpServers": {
"mcp-tasks": {
"command": "npx",
"args": ["-y", "mcp-tasks"],
"env": {
"STATUS_WIP": "In Progress",
"STATUS_TODO": "To Do",
"STATUS_DONE": "Done",
"STATUS_REMINDERS": "Reminders",
"STATUS_NOTES": "Notes",
"STATUSES": "In Progress,To Do,Done,Backlog,Reminders,Notes",
"AUTO_WIP": "true",
"PREFIX_TOOLS": "true",
"KEEP_DELETED": "true",
"TRANSPORT": "stdio",
"PORT": "4680",
"INSTRUCTIONS": "Use mcp-tasks tools when the user mentions new or updated tasks"
}
}
}
}
HTTP transport for remote access:
First run the server:
TRANSPORT=http PORT=4680 npx mcp-tasks
Then:
{
"mcpServers": {
"mcp-tasks": {
"type": "streamableHttp",
"url": "http://localhost:4680/mcp"
}
}
}
📁 Supported File Formats
| Extension | Format | Best For | Auto-Created |
|---|---|---|---|
.md | Markdown | Human-readable task lists | ✅ |
.json | JSON | Structured data, APIs | ✅ |
.yml | YAML | Configuration files | ✅ |
Format is auto-detected from file extension. All formats support the same features and can be mixed in the same project.
Recommended: Markdown (.md) for human readability and editing
⚠️ Warning: Start with a new file rather than using pre-existing task files to avoid losing non-task content.
🛠️ Available Tools
When PREFIX_TOOLS=true (default), all tools are prefixed with tasks_:
| Tool | Description | Parameters |
|---|---|---|
tasks_setup | Initialize a task file (creates if missing, supports .md, .json, .yml) | source_path, workspace? |
tasks_search | Search tasks with filtering | source_id, statuses?, terms?, ids? |
tasks_add | Add new tasks to a status | source_id, texts[], status, index? |
tasks_update | Update tasks by ID | source_id, ids[], status, index? |
tasks_summary | Get task counts and work-in-progress | source_id |
ID Format: Both source_id (from file path) and task id (from task text) are 4-character alphanumeric strings (e.g., "xK8p", "m3Qw").
Tool Examples
Setup a task file:
tasks_setup({
workspace: "/path/to/project",
source_path: "tasks.md" // relative to workspace or absolute
// source_path: "tasks.json"
// source_path: "tasks.yml"
})
// Returns: {"source":{"id":"xK8p","path":"/path/to/project/tasks.md"},"Backlog":0,"To Do":0,"In Progress":0,"Done":0,"inProgress":[]}
// Source ID (4-char alphanumeric) is used for all subsequent operations
Add tasks:
tasks_add({
source_id: "xK8p", // From setup response
texts: ["Implement authentication", "Write tests"],
status: "To Do",
index: 0 // Add at top (optional)
})
// Returns: {"source":{"id":"xK8p","path":"/absolute/path/to/tasks.md"},"Backlog":0,"To Do":2,"In Progress":0,"Done":0,"inProgress":[],"tasks":[{"id":"m3Qw","text":"Implement authentication","status":"To Do","index":0},{"id":"p9Lx","text":"Write tests","status":"To Do","index":1}]}
Search and filter:
tasks_search({
source_id: "xK8p", // From setup response
terms: ["auth", "deploy"], // Search terms (text or status, OR logic)
statuses: ["To Do"], // Filter by status
ids: ["m3Qw", "p9Lx"] // Filter by specific task IDs
})
// Returns: [{"id":"m3Qw","text":"Implement authentication","status":"To Do","index":0}]
Update tasks status:
tasks_update({
source_id: "xK8p", // From setup response
ids: ["m3Qw", "p9Lx"], // Task IDs from add/search responses
status: "Done" // Use "Deleted" to remove
})
// Returns: {"source":{"id":"xK8p","path":"/absolute/path/to/tasks.md"},"Backlog":0,"To Do":0,"In Progress":0,"Done":2,"inProgress":[],"tasks":[{"id":"m3Qw","text":"Implement authentication","status":"Done","index":0},{"id":"p9Lx","text":"Write tests","status":"Done","index":1}]}
Get overview:
tasks_summary({
source_id: "xK8p" // From setup response
})
// Returns: {"source":{"id":"xK8p","path":"/absolute/path/to/tasks.md"},"Backlog":0,"To Do":0,"In Progress":1,"Done":2,"inProgress":[{"id":"r7Km","text":"Fix critical bug","status":"In Progress","index":0}]}
🎛️ Environment Variables
| Variable | Default | Description |
|---|---|---|
TRANSPORT | stdio | Transport mode: stdio or http |
PORT | 4680 | HTTP server port (when TRANSPORT=http) |
PREFIX_TOOLS | true | Prefix tool names with tasks_ |
STATUS_WIP | In Progress | Work-in-progress status name |
STATUS_TODO | To Do | ToDo status name |
STATUS_DONE | Done | Completed status name |
STATUS_REMINDERS | Reminders | Reminders for the AI (empty string to disable) |
STATUS_NOTES | Notes | Notes/non-actionable tasks (empty string to disable) |
STATUSES | Backlog | Comma-separated additional statuses |
AUTO_WIP | true | One WIP moves rest to To Do, first To Do to WIP when no WIP's |
KEEP_DELETED | true | Retain deleted tasks (AI can't lose you tasks!) |
INSTRUCTIONS | ... | Included in all tool responses, for the AI to follow |
SOURCES_PATH | ./sources.json | File to store source registry (internal) |
DEBUG | false | if true, enable the tasks_debug tool |
Advanced Configuration Examples
Optional, the WIP/ToDo/Done statuses can be included to control their order.
Custom workflow statuses:
{
"env": {
"STATUSES": "WIP,Pending,Archived,Done,To Review",
"STATUS_WIP": "WIP",
"STATUS_TODO": "Pending",
"AUTO_WIP": "false"
}
}
📊 File Formats
Markdown (.md) - Human-Readable
# Tasks - File Name
## In Progress
- [ ] Write user registration
## To Do
- [ ] Implement authentication
- [ ] Set up CI/CD pipeline
## Backlog
- [ ] Plan architecture
- [ ] Design database schema
## Done
- [x] Set up project structure
- [x] Initialize repository
## R
---
FAQ
- What is the Tasks MCP server?
- Tasks 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 Tasks?
- This profile displays 10 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.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
Tasks is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated Tasks against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: Tasks is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
Tasks reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend Tasks for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: Tasks surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
Tasks has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our notes, Tasks benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired Tasks into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
Tasks is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.