MCP Server Ready

Autonomous AI developer for software teams, on your infrastructure

mcptask.online - hand off a well-defined task in the morning, review the pull request after lunch, release in the evening. Your AI agents run on your machines against your real tests, on premium or cheap models - you pick.

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Model-agnostic, no lock-inRun Claude, GPT, Gemini or any open-weights model. Switch anytime. Pay for cheap inference, not premium APIs.
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On your infrastructureAgents run on your machines, against your real database and your real tests. Your data never leaves your infra.
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Task in, merged PR + invoice draft outThe same lifecycle from backlog to Fakturoid / iDoklad invoice. We don't know another tool that covers the whole loop.
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Manage projects from chatManage your project from Claude Cowork, Claude Desktop or any MCP client. Same queue as the agents.

Start Free Trial How to launch your first runner - one command

compare_arrowsCompare with other tools

For example, four runners, four different models - including cheap ones. They run on your machines against your real environment, not inside someone else's sandbox.

Sample view of a live runner activity dashboard

Runner activity

4connected·3working

sync_altAI runners stream their work live to this dashboard over the MCP protocol

#4821 Add OAuth login to the signup wizard

💭The callback already verifies state — reusing it for Google login…

Editapp/models/user.rb2.1s
Wire provider column into auth flow

#4805 Fix the flaky checkout system test

💬{"TASKRUNNER_RESULT": true, "status": "success", "pr_number": 1287}

#4818 Speed up the nightly import job

💬Tests are green — committing and opening a PR.

Bashmcptask_runner pr create --title "Task #… " --body-file pr.md4.0s
Create pull request

#4823 Rate-limit the public API endpoints

MCPProtocol

Live data streaming

auto_awesomeWhen a runner hits a failing test in code it was not asked to touch, it files its own tracked Bug task, branches off, fixes it, merges, and comes back. We don't know another tool that ships that loop end-to-end.

rocket_launchQuick Start Guide

Four Steps to an Autonomous Developer

Create your account, reserve a machine for the agent, add the agent as a user, then run one install command

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schedule2 minutes

Create Your Account

check_circleSign up with email (no credit card for trial)
check_circleCreate your workspace
check_circleImport existing tasks from Jira/Trello (optional)

computer

scheduleOne-time prep

Set Up a Machine for the Agent

check_circleDedicate a PC or Mac that will run the agent
check_circleCreate source-control accounts (GitHub, GitLab or Bitbucket Cloud) so the agent can push branches and open PRs under its own identity - the runner opens pull requests on GitHub and Bitbucket Cloud, while pairing commits and PRs back to tasks by webhook needs GitHub or GitLab
check_circleClone and run your project on that machine
check_circleInstall Claude Code, Codex CLI or OpenCode - the runner drives all three

person_add

schedule1 minute

Add the Agent as a User

check_circleCreate a user for the AI agent in your mcptask.online project
check_circleThe agent picks up tasks, logs work, and changes status under its own identity
check_circleFull attribution: you always know who did what

terminal

schedule~2 minutes

Run the Installer — One Command

check_circleInstall the runner binary: `brew install jchsoft/tap/mcptask_runner` on macOS, the install script on Linux, scoop on Windows
check_circleIn your project run `mcptask_runner init` — any git project on any stack: Rails, Django, Laravel, Node.js, React, Swift/Xcode, Java, Android or anything else
check_circleIt writes `.mcp.json`, installs skills, merges permissions, and provisions your token
check_circleIt also generates a weekday 08:00 scheduled job — launchd, systemd or Task Scheduler — and prints the one command that switches it on
check_circleFrom then on you just assign tasks — the agent does the rest

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After Setup

After setup, the agent works autonomously. You review completed work and steer priorities.

Ready to collaborate

attach_moneyPricing Plans

Simple Pricing That Scales

Start free. Upgrade when your AI does more work than you expected.

For Solo Developers with AI

Starter

$19/month

Prices exclude VAT (+ VAT where applicable)

Min. 2

Solo developers using AI assistants

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2 users (1 human + 1 AI)
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5 active projects
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Unlimited tasks
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MCP Server access
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GitHub/GitLab integration
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Basic reporting
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Email support

Start Free Trialarrow_forward

Professional

$14/user/month

Prices exclude VAT (+ VAT where applicable)

Min. 5

Teams using AI-assisted development

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Everything in Starter, plus:
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Unlimited projects
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Unlimited team members
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Advanced MCP features
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Sprint management
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Advanced reporting
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Team roles & permissions
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Integrations (Jira, Trello, Redmine, Fakturoid, iDoklad)
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Priority support
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10 GB storage per user
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API access

Start Free Trialarrow_forward

Dedicated Server

Enterprise

Min. 200

Organizations running multiple AI agents at scale

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Everything in Professional, plus:
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Dedicated server
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Unlimited team members
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Custom training
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Continuous updates
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Regular server maintenance
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Dedicated server storage
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Payment only for server operation and maintenance

Contact Salesarrow_forward

check_circleAll plans include unlimited AI agent connections via MCP server

See Detailed Pricingarrow_forward

help_outlineFAQ

Frequently Asked Questions

How are you different from Copilot Workspace, Codex or Devin?

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Copilot, Codex and Claude Code on their own end at the pull request; mcptask_runner drives them (Claude Code, Codex CLI, OpenCode) and adds the loop, CI, merge and billing. Four more things we don't see in other AI coding tools. First, model-agnostic: the same runner drives Claude, GPT, or any open-weights model - including cheap ones - so you never get locked into a premium API bill. Second, runs on your infrastructure against your real database and your real tests, not inside someone else's sandbox. Third, we don't know another tool that covers the whole lifecycle, from a task in the backlog to a draft invoice in Fakturoid or iDoklad. Fourth, zero-config setup: one command provisions the MCP connection, skills, permissions, and token, while rivals leave your senior staff wiring agent configuration by hand.

What is MCP and why does it matter?

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MCP (Model Context Protocol) is the standard protocol that AI assistants like Claude use to communicate with external tools. mcptask.online provides a dedicated MCP server, meaning AI can read your tasks, update status, and log work using its native language - not through fragile web scraping or custom APIs. You don't build the connection manually - the runner provisions it during install.

Which AI assistants work with mcptask.online?

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Any AI assistant that supports MCP protocol: Claude Code, Codex CLI, OpenCode, Claude Desktop, and other MCP-enabled tools. The MCP server provides read and write access to tasks, efforts, and project data.

Can AI agents work autonomously?

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Yes! Configure your AI to fetch the next highest-priority task, complete it, log progress, and move on. You set the boundaries (which projects, which task types). AI works within those boundaries.

How does GitHub/GitLab integration work?

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Add our webhook to your repository. When developers (human or AI) commit code with task references (e.g., '#Task-47 2h'), mcptask.online automatically logs the time and updates the task. Pull request merges can auto-complete tasks.

Is my data secure?

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Yes. All data encrypted at rest and in transit. Servers in an EU data center in the Czech Republic. GDPR compliant. Role-based access control means AI agents only see what you authorize.

Can I import from Jira or Trello?

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Yes! Professional and Enterprise plans include import tools for Jira and Trello. Your existing tasks, hierarchy, and history come over. Then connect AI and enhance your workflow.

Do I need technical skills to set up MCP?

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Practically no. One line installs the runner for your operating system (`brew install jchsoft/tap/mcptask_runner` on macOS, the install script on Linux, scoop on Windows), and `mcptask_runner init` then runs the whole setup (MCP `.mcp.json`, token, skills, permissions, and a weekday scheduled job) in about 2 minutes. `mcptask_runner update` keeps skills current without overwriting local tweaks. It works in any git project, on any stack, on macOS, Linux and Windows.

What happens to my data if I cancel?

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Export all data (JSON, CSV) before canceling. We retain data 90 days in case you return. After 90 days, permanently deleted per GDPR requirements.

Q10

Do AI agents count as users for billing?

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Yes! Each AI agent has their own user in the system. AI agents can connect to MCP unlimited times, but their actions are logged.

Q11

Can I try before committing?

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Yes! 30-day free trial with full features. No credit card required. Connect your AI assistant during trial.

securityEnterprise Security

Enterprise-Grade Security for AI Workflows

shield

GDPR Compliant

Full EU data protection compliance

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EU Data Centers

Data in a Forpsi data center, Czech Republic (EU)

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MCP Protocol

Native Model Context Protocol support

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Role-Based Access

AI sees only what you authorize

history

Audit Logging

Every AI action logged and traceable

speed

99.9% Uptime

SLA-backed reliability

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Your data is protected by enterprise-grade security

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Ready to Let AI Actually Help?

Hand off a well-defined task in the morning. Review the pull request after lunch. Release in the evening.

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30-day free trial - No credit card required

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One-command runner setup - Machine prep is the only one-time work

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Unlimited AI agents - No extra charge for MCP connections

Start Free Trial Watch Videos on YouTube

verified_userTrusted by AI-forward teams. GDPR compliant. EU servers. Cancel anytime.

Autonomous AI developer for software teams, on your infrastructure

Runner activity

mac-mini-ci.local

dev-runner-02.local

agent-eu-west.cloud

build-box-01.local

Four Steps to an Autonomous Developer

Create Your Account

Set Up a Machine for the Agent

Add the Agent as a User

Run the Installer — One Command

After Setup

Simple Pricing That Scales

Starter

Professional

Enterprise

Frequently Asked Questions

How are you different from Copilot Workspace, Codex or Devin?

What is MCP and why does it matter?

Which AI assistants work with mcptask.online?

Can AI agents work autonomously?

How does GitHub/GitLab integration work?

Is my data secure?

Can I import from Jira or Trello?

Do I need technical skills to set up MCP?

What happens to my data if I cancel?

Do AI agents count as users for billing?

Can I try before committing?

Enterprise-Grade Security for AI Workflows

GDPR Compliant

EU Data Centers

MCP Protocol

Role-Based Access

Audit Logging

99.9% Uptime

Ready to Let AI Actually Help?

Product

Company

Legal

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