auto_awesomeFeatures

Everything AI Agents Need.Everything Humans Want

A complete task management platform with dedicated MCP server for AI assistants, powerful web interface for humans, and automation that connects both.

dnsMCP Server & AI Integration

AI Speaks MCP. So Do We.

mcptask.online provides a dedicated Model Context Protocol server that AI assistants understand natively. No scraping, no fragile integrations - direct, structured communication.

dns

Native MCP Protocol Support

The Model Context Protocol is how modern AI assistants communicate with external tools. mcptask.online provides a full MCP server implementation, allowing AI agents to read tasks, update status, log work, and more - using their native language.

  • check_circleRead task details, descriptions, and context
  • check_circleList available tasks (filtered by project, status, priority)
  • check_circleUpdate task status (in progress, completed, blocked)
  • check_circleLog work efforts with descriptions
01
visibility

AI Sees Full Task Context

When AI requests a task, it receives complete context: description, acceptance criteria, related tasks, comments, attached files, and history. No manual copy-paste required.

  • check_circleTask name and full description (Markdown supported)
  • check_circleParent epic/story context
  • check_circleRelated tasks and dependencies
  • check_circlePrevious comments and discussions
Benefits
  • arrow_forwardZero context setup time
  • arrow_forwardAI understands full requirements
  • arrow_forwardConsistent information every time
02
smart_toy

AI Fetches Next Task Automatically

Configure your AI agent to operate autonomously: fetch highest-priority available task, complete it, log work, mark done, move to next. Set boundaries (project scope, task types), then let AI work.

  • check_circleAI calls get_next_task() via MCP
  • check_circlemcptask.online returns highest-priority available task
  • check_circleAI works on task
  • check_circleAI calls log_effort() with work description
Configuration
  • arrow_forwardLimit to specific projects
  • arrow_forwardLimit to specific task types
  • arrow_forwardPriority thresholds
03
schedule

Automatic Effort Tracking

Every action AI takes is logged: tasks viewed, work performed, status changes. AI can also explicitly log effort with descriptions, duration, and progress percentage.

  • check_circleTask opened/viewed
  • check_circleStatus changes
  • check_circleComments added
  • check_circleFiles attached
Explicit Logging
  • arrow_forwardWork description
  • arrow_forwardDuration in minutes
  • arrow_forwardProgress percentage
04
groups

Run Multiple AI Agents

Connect unlimited AI agents to your mcptask.online workspace. Each agent identified separately. Work distributed automatically. No conflicts, clear attribution.

  • check_circleEach agent has unique API key
  • check_circleClear identification in logs
  • check_circleWork distribution by project/task type
  • check_circleNo duplicate work (task locking)
Use Cases
  • arrow_forwardDifferent agents for different projects
  • arrow_forwardSpecialized agents (frontend, backend, docs)
  • arrow_forward24/7 coverage with multiple agents
05
claude_desktop_config.json
settingsQuick Setup
{
"mcpServers": {
"mcptask-online": {
"type": "sse",
"name": "McpTask.online",
"url": "https://mcptask.online/mcp/sse",
"headers": {
"Authorization": "Bearer ${MCPTASK_ONLINE_TOKEN}"
}
}
}
}
infoWorks with Claude Desktop, Cursor, and other MCP-compatible AI assistants
timer2 min setup

Technical Specifications

Enterprise-ready MCP implementation

verified_user

MCP protocol over SSE (Server-Sent Events)

api

JWT authentication for secure access

key

Pub/Sub messaging for real-time communication

security

Scoped permissions per agent

account_treeTask & Project Management

Organized Work for Humans and AI

Hierarchical task structure that makes sense for real projects. Navigate easily whether you're human or AI.

account_tree

Epic > Story > Task > Subtask

Organize work the way it actually happens. Large initiatives become Epics. User-facing features become Stories. Actual work items become Tasks. Granular steps become Subtasks.

starsEpic – Major initiative or feature set (e.g., "Mobile App v2")
auto_storiesStory – User-facing capability (e.g., "User Authentication")
taskTask – Concrete work item (e.g., "Implement OAuth")
checklistSubtask – Granular step (e.g., "Add Google login button")
Benefits
  • arrow_forwardNatural organization matching real projects
  • arrow_forwardProgress rolls up automatically
  • arrow_forwardAI understands context from parent items
01
repeat

Automate Repeated Work

Create recurring tasks for maintenance, reports, or any regular work. mcptask.online automatically generates new instances on schedule.

  • event_repeatDaily, weekly, monthly
  • event_repeatCustom intervals (every N days)
  • event_repeatSpecific weekdays (Mon/Wed/Fri)
  • event_repeatFirst/last of month
What Recurs
  • arrow_forwardTask name and description
  • arrow_forwardEstimated duration
  • arrow_forwardAssigned user/agent
02
content_copy

Replicate Successful Projects

Save any project structure as a template. Start new projects with pre-defined tasks, hierarchy, and estimates. Perfect for repeatable work.

  • check_circleComplete task hierarchy
  • check_circleTask descriptions
  • check_circleTime estimates
  • check_circleRole assignments (not specific people)
Use Cases
  • arrow_forwardClient onboarding projects
  • arrow_forwardStandard feature implementations
  • arrow_forwardSprint structures
03
sync_alt

Simple, Flexible States

Clear task states that AI and humans both understand: New, In Progress, Blocked, Done. States are determined automatically based on work progress.

fiber_newNew – Task created, not started
pendingIn Progress – Work underway
blockBlocked – Waiting on dependency
rate_reviewReview – Work complete, needs review
task_altDone – Task completed
AI Workflow
  • arrow_forwardAI auto-sets "In Progress" when starting
  • arrow_forwardAI can report "Blocked" with reason
  • arrow_forwardAI marks "Done" when complete
04
priority_high

AI Knows What's Important

Set task priorities that AI respects. When AI asks for next task, mcptask.online returns highest priority available. Urgent issues surface automatically.

priority_highUrgent – AI picks these first
keyboard_arrow_upHigh – Important, do soon
removeNormal – Standard priority
keyboard_arrow_downLow – Do when time permits
Ordering Factors
  • arrow_forwardPriority level
  • arrow_forwardTask type (bugs before features)
  • arrow_forwardCreation date (older first)
05
account_treeProject Hierarchy Example
layers4-Level Structure
stars
Epic

Mobile App v2.0

Major initiative with multiple user-facing features

auto_stories
Story

User Authentication

Complete login and registration flow

task
Task

Implement OAuth Login

Add Google and GitHub OAuth providers

checklist
Subtask

Add Google Login Button

UI component with proper styling

infoProgress rolls up automatically from subtasks to epics
smart_toyAI understands context at every level

Task Workflow States

Clear states that AI and humans both understand

fiber_new

New

Task created, not started

pending

In Progress

Work underway

block

Blocked

Waiting on dependency

rate_review

Review

Work complete, needs review

task_alt

Done

Task completed

{ }< />
codeDeveloper Integrations

Connect Your Development Workflow

GitHub, GitLab, and more. Your commits become time entries. Your PRs link to tasks. AI or human - it's all tracked.

code
GitHub

Commits Auto-Log Time

Connect GitHub repositories via webhooks. Commits with task references automatically log time. Pull requests link to tasks. Merges can complete tasks.

1Add mcptask.online webhook to repo
2Developers commit with references: Fix login bug https://mcptask.online/your_company/tasks/47 80%
3Webhook fires on push
4mcptask.online logs progress to Task-47
  • webhookPush (commits) - logs time
  • webhookPull Request opened - links to task
  • webhookPull Request merged - can complete task
timerSetup: 2 minutes
01
merge_type
GitLab

Self-Hosted and Cloud Support

Full GitLab integration with same features as GitHub. Works with GitLab.com and self-hosted GitLab instances.

  • check_circleGitLab.com (SaaS)
  • check_circleGitLab Self-Managed (12.0+)
  • check_circleGitLab Enterprise
  • check_circleIntegration same as GitHub
02
import_export
Jira

Bidirectional Sync with Jira

Import existing Jira projects and sync completed work back. Bidirectional communication keeps both systems synchronized.

  • uploadIssue hierarchy (Epic > Story > Task)
  • uploadDescriptions and comments
  • uploadAttachments
  • uploadSprint assignments
scheduleMigration: 15-30 minutes typical
03
dashboard
Trello

Bidirectional Sync with Trello

Import Trello boards and sync completed work back. Bidirectional communication keeps both systems synchronized.

  • uploadBoards -> Projects
  • uploadLists -> Epics/States
  • uploadCards -> Tasks
  • uploadChecklists -> Subtasks
Mapping Options
  • arrow_forwardLists -> Epics (hierarchical)
  • arrow_forwardLists -> States (flat)
  • arrow_forwardCustom mapping
04
receipt_long
Redmine

Bidirectional Sync with Redmine

Import existing Redmine projects and sync completed work back. Bidirectional communication keeps both systems synchronized.

  • uploadProjects and subprojects
  • uploadIssues (all types)
  • uploadDescriptions and comments
  • uploadAttachments
05
api
REST API

Build Custom Integrations

Full REST API for custom integrations. JWT authentication. Comprehensive documentation. Use alongside or instead of MCP for specific needs.

  • apiProjects (CRUD)
  • apiTasks (CRUD + hierarchy)
  • apiEfforts (log time)
  • apiUsers (manage)
  • apiSprints (manage)
Rate Limits
rocket_launchstarter0 req/hour
verifiedprofessional10,000 req/hour
corporate_fareenterprise100,000 req/hour
menu_bookInteractive API explorer with examples
06
syncIntegration Workflow
auto_modeAutomatic Sync
terminal

Developer Commits

git commit -m "Fix bug #Task-47 2h"

arrow_forward
webhook

Webhook Fires

GitHub/GitLab notifies mcptask

arrow_forward
schedule

Time Logged

2h automatically logged to task

arrow_forward
task_alt

Task Updated

PR merge can complete task

infoWorks with both human developers and AI agents (Claude Code)
flash_onReal-time sync

Commit Message Parsing

Reference tasks and log time directly from your commits

Fix bug #Task-47 2h
check_circle2 hours logged
Add tests #Task-47 30m
check_circle30 minutes logged
#Task-47 Refactored
auto_awesomeAuto-estimated
scheduleTime Tracking & Effort Logging

Track Every Hour (Automatically)

Multiple ways to log time: AI automatic, webhook automatic, timer, manual. All flows to the same place.

smart_toy

AI Logs Its Own Work

When AI agents work through MCP, they log effort automatically. Duration, description, progress - all captured without human intervention.

AI-Logged Data
  • data_objectTask worked on
  • data_objectDuration (estimated or actual)
  • data_objectWork description
  • data_objectProgress percentage
  • data_objectAny blockers
Human Review
  • arrow_forwardView all AI-logged efforts
  • arrow_forwardApprove for billing if needed
  • arrow_forwardAdjust if necessary
  • arrow_forwardFull audit trail
01
commit

Commits = Time Entries

GitHub/GitLab webhooks parse commit messages for time data. Include #Task-47 2h in commit and time is logged automatically.

Parsing Examples
codeFix login bug https://mcptask.online/your_company/tasks/47 80%
arrow_forwardLogged 80% progress
codeImplement feature URL/47 50%
arrow_forwardLogged 50% progress
codeURL/47 Refactored auth 100%
arrow_forwardLogged 100% progress
Works For
  • arrow_forwardHuman developers
  • arrow_forwardAI agents (Claude Code)
  • arrow_forwardCI/CD pipelines
02
timer

Traditional Time Tracking

For work outside code: meetings, design, planning. Enter completion time, start is determined automatically. All work tracked alongside AI work.

Effort Parameters
  • edit_noteCompletion time
  • edit_noteWork description
  • edit_noteCompletion percentage
  • edit_noteAutomatic start determination
Manual Entry
  • arrow_forwardQuick duration entry
  • arrow_forwardBulk entry for past work
  • arrow_forwardDate picker for backdating
03
check_circle

Review Before Billing

Managers can review and approve work before invoicing. See AI-logged vs. human-logged work. Export to PDF, CSV, or invoicing programs.

Report Export
  • file_downloadExport to PDF
  • file_downloadExport to CSV
  • file_downloadExport to .Doklad
  • file_downloadExport to Fakturoid
Filtering
  • arrow_forwardBy person (human/AI)
  • arrow_forwardBy project
  • arrow_forwardBy date range
  • arrow_forwardBy approval status
04
scheduleMultiple Logging Methods
syncAll Sync Together
smart_toy

AI Automatic

MCP agents log work automatically as they complete tasks

auto_modeZero manual input
commit

Webhook Automatic

Commits with task references auto-log time entries

code#Task-47 2h
timer

Timer & Manual

Start/stop timers or add entries manually for any work

touch_appOne-click start
infoAll methods flow to the same unified time log
verifiedReady for billing approval

Effort Approval Flow

Review and approve efforts before invoicing

edit_note

Logged

pending

Pending

check_circle

Approved

receipt

Billed

groupsTeam Collaboration

Humans and AI, Working Together

Role-based access, real-time updates, and clear attribution - whether work comes from human or AI.

admin_panel_settings

Right Access for Everyone

Define who (human or AI) can access what. Admins see everything. Developers see their projects. Clients see progress only. AI agents get roles just like humans.

Human Roles
admin_panel_settingsadmin-Full access
manage_accountsmanager-Project oversight
codedeveloper-Task execution
visibilityclient-Read-only progress
AI Roles
  • smart_toyAI gets roles just like humans
  • smart_toyAll permissions derived from role
  • smart_toyAI with Manager role has all rights
  • smart_toyNo special restrictions for AI
01
sync

See Changes Instantly

When AI completes a task, you see it immediately. When human updates status, AI sees it instantly. No refresh needed. Always current.

Real-Time Events
  • boltTask status changes
  • boltNew efforts logged
  • boltComments added
  • boltFiles attached
codeHotwire Turbo for instant updates
02
chat

Discuss Work in Context

Add comments to any task. @mention team members. AI can add comments too (work summaries, blockers). All discussion tied to the work.

Comment Features
  • checkMarkdown support
  • checkSyntax highlighting
  • checkFile attachments
  • checkUser thumbnail (AI or Human)
03
rss_feed

See What's Happening

Central feed showing all activity: tasks created, AI work logged, status changes, comments. Filter by project, person, or action type.

Activity Types
  • fiber_manual_recordTask created/updated
  • fiber_manual_recordEffort logged (human/AI)
  • fiber_manual_recordStatus changed
  • fiber_manual_recordComment added
  • fiber_manual_recordFile attached
04
hubHuman-AI Collaboration
syncReal-Time Sync
person

Human Team

Managers, developers, and clients with role-based access

verified_userRole-based permissions
hub

Shared Workspace

Tasks, comments, and activity synchronized in real-time

boltInstant updates
smart_toy

AI Agents

Multiple agents with scoped access and clear attribution

lockScoped permissions
infoAll activity tracked with clear attribution
historyFull audit trail

Activity Feed Preview

See all team activity in one place

task_alt

Tasks

schedule

Efforts

chat

Comments

sync

Updates

analyticsReporting & Analytics

Insights on Human and AI Work

Understand where time goes, track AI productivity, and generate client-ready reports.

analytics

Tracking Human and AI Productivity

Dedicated reports on all team member activity: completed tasks, logged hours, completion rate. Compare efficiency across projects.

Metrics
  • analyticsCompleted tasks
  • analyticsLogged hours
  • analyticsAverage task completion time
  • analyticsWork efficiency
01
summarize

Where Did Time Go?

Detailed time reports by project, person (human/AI), task type. Export for invoicing or analysis.

Report Types
  • descriptionBy project
  • descriptionBy person/agent
  • descriptionBy date range
  • descriptionBy task type
Export Formats
PDF (client-ready)CSV (analysis)JSON (API)Fakturoid/iDoklad (Czech invoicing)
02
speed

Agile with AI

With AI agents, Agile development finally gets its true meaning. AI is always available, incredibly fast, and never needs vacation.

AI Agile Features
  • rocket_launchAI never takes vacation
  • rocket_launchAI is never sick
  • rocket_launchAI works immediately
  • rocket_launchAI is extremely fast
  • rocket_launchTruly agile development 24/7
03
assessment

Reports

Comprehensive reports for work tracking and attendance. Export for invoicing and internal purposes.

Available Reports
  • assessmentWork Report - also used for invoicing, various filters
  • assessmentWork Attendance - overview of who worked how much during which time period
04
assessmentReport Dashboard
insightsReal-Time Data
smart_toy

AI Work Reports

Track AI productivity, tasks completed, and contribution ratios

analyticsAI vs Human metrics
schedule

Time Reports

Detailed breakdowns by project, person, and task type

downloadMultiple export formats
speed

Sprint Tracking

Burndown charts, velocity metrics, and AI contribution breakdown

trending_upAgile metrics
infoAll reports track both human and AI contributions
file_downloadExport ready
lockSecurity & Compliance

Enterprise-Grade Security for AI Workflows

Your data is secure. AI access is controlled. Everything is audited.

lock

AI Sees Only What You Allow

Scoped permissions for AI agents. Restrict by project, task type, or action. Full control over what AI can read, write, and modify.

Scoping Options
  • securityProject-level access
  • securityTask type restrictions
  • securityRead-only vs. write
  • securityAction limits (no delete, etc.)
01
history

Every AI Action Tracked

Complete audit trail of all AI activity. What task was accessed, what changes were made, when, and by which agent. Exportable for compliance.

Logged Events
  • historyTask accessed
  • historyStatus changed
  • historyEffort logged
  • historyComment added
  • historyFile uploaded
02
enhanced_encryption

Bank-Level Security

All data encrypted at rest (AES-256) and in transit (TLS 1.3). API keys hashed. Passwords bcrypt-hashed. Regular security audits.

03
verified_user

EU Data Protection

Full GDPR compliance. Data stored in EU (Frankfurt). Data export anytime. Right to erasure. Data processing agreements available.

04
dns

Data Stays in Europe

All servers in EU data centers (Frankfurt, Germany). No data transfer outside EU. Compliant with EU data sovereignty requirements.

05
verified_userSecurity Overview
shieldEnterprise-Grade
lock

AI Access Control

Scoped permissions for every AI agent with project-level restrictions

admin_panel_settingsRole-based access
enhanced_encryption

Data Protection

AES-256 encryption at rest, TLS 1.3 in transit, bcrypt-hashed passwords

securityBank-level security
verified_user

EU Compliance

GDPR compliant with data stored in EU data centers (Frankfurt)

publicEU data residency
infoComplete audit trail for all AI and human activity
gpp_goodCompliance ready

Data Protection Standards

Enterprise security for your AI workflows

enhanced_encryption
At Rest

AES-256

lock
In Transit

TLS 1.3

verified_user
Compliant

GDPR

dns
Frankfurt

EU Data

smart_toy

Ready to Connect Your AI?

All features included. No credit card required.

See how mcptask.online works in practice

verified_user30-day free trial - Unlimited AI agents - No credit card - GDPR compliant

help_outlineFAQ

Frequently Asked Questions

Q1

Is the MCP server included on all plans?

expand_more

Yes! MCP server access is included on all plans, including the free trial. Connect unlimited AI agents.

Q2

How is mcptask.online different from Jira or Linear?

expand_more

Jira and Linear have APIs, but they don't speak MCP - the native protocol AI assistants use. mcptask.online provides a dedicated MCP server, enabling truly native AI integration without custom middleware.

Q3

Can I use mcptask.online without AI?

expand_more

Absolutely! It's a full-featured task manager for humans. The MCP server is there when you're ready for AI. Many teams start human-only and add AI later.

Q4

Does AI work count toward billing?

expand_more

For work you invoice to your clients, Yes. For invoices we send to you, NO.