task-master-ai

MCP server · npm · graded 2026-10-27Source linked

A task management system for ambitious AI-driven development that doesn't overwhelm and confuse Cursor.

No outside reports on file

Use this tool only for non-sensitive projects and only if you trust the task content, since the AI could be tricked by malicious task descriptions or accidentally expose your work details.

Based on public adoption and transparency signals as of Oct 27, 2026. Our opinion, not a code audit or security guarantee.

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What it can access

  • Local filesReads & writes local foldersREVIEW
  • Command executionNo shell command runner notedLOW
  • Network reachConnects to outside service APINOTED
  • CredentialsNo API token requiredLOW
  • Package sourcenpm (task-master-ai)PUBLIC

Inferred from this listing’s public package details and description. Check the project’s source before installing.

Install

npx -y task-master-ai

All setup options ↓

Everything known

We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.

0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30

Popularity grade: D (from public signals such as stars and downloads, not a code review). Graded 2026-10-27.

Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.

Check a specific version →

About Task Master AI

Task-Master-AI is an MCP server that helps manage tasks and projects within AI-driven development workflows, specifically designed to work smoothly with Cursor (an AI code editor). It appears to provide task organization features without overwhelming the AI system with too much complexity.

Who it’s for

Developers using Cursor who want AI assistance with task management and project organization. Best for teams or individuals doing AI-assisted coding who need to keep tasks organized without cluttering their AI context.

Alternatives

  • Taskwarrior: Open-source command-line task manager, no AI integration but lightweight and privacy-focused. - OpenProject: Web-based project management with task tracking, integrates with some CI/CD tools. - Built-in Cursor features: Check if Cursor's native task or project panel meets your needs before adding an external connector.

Setup

Check these steps against the project’s own instructions before running anything.

Install via npm:

npm install task-master-ai

Then add to your Claude Desktop configuration in claude_desktop_config.json under the mcpServers section with the appropriate server details. Follow the project's README for exact configuration steps for your Cursor setup.

Why this grade

DD — High risk signals

Signal-based grade (1/7 points): no public source code found. This reflects adoption and transparency, not a code review.

Popularity and upkeep

34/100
Weekly npm downloads
15.4k
Listing last refreshed
2026-10-29

These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.

Risks to watch for

  • AI context injection: Task descriptions or file names in your task list could contain hidden instructions or prompt injections that trick the AI into unintended actions. - Data exposure: Tasks and project details stored by this system may be accessible to the AI model without encryption, potentially leaking sensitive work or proprietary information. - Filesystem access: The connector may read or modify files on your computer as it manages tasks, with no clear permissions boundary. - Malicious task content: Attackers could craft tasks (via shared projects or commits) that contain code or commands the AI might execute without proper review. - Supply chain risk: The package has no GitHub stars and moderate npm downloads; updates could be compromised or abandoned without notice.

How to lower the risk

Least-privilege permissions

  • Run Cursor and this MCP server in a user account with minimal file system access. - Only grant the connector access to one project folder, not your entire home directory.

Network isolation

  • Keep the MCP server running locally; do not expose it to the internet or remote access. - Verify the package does not make outbound connections to unknown servers.

Monitoring

  • Review task logs and file changes the connector makes on a weekly basis. - Check npm for security advisories on this package regularly.

Red flags to watch for

  • Unusual task descriptions that look like code or system commands. - Sudden slowdowns or file modifications you did not request. - Package updates with vague or missing changelog notes.

Questions

How do I install Task Master AI?

Run npx -y task-master-ai in your terminal, or add the server entry to your claude_desktop_config.json or .cursor/mcp.json as shown in the Setup section on this page. Full setup docs and environment variables are in github.com/eyaltoledano/claude-task-master.

Are there security reports about Task Master AI?

No reports found for this package in our research (last checked 2026-10-30). Task Master AI currently holds Grade D (High risk signals) based on public adoption and transparency signals. Key risk areas to watch include ai context injection.

Is Task Master AI actively maintained?

Task Master AI has 15.4k weekly npm downloads, with its latest repository commit pushed on 2026-04-28. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/eyaltoledano/claude-task-master before pinning it in production.

What are alternatives to Task Master AI?

Notable alternatives to Task Master AI include Taskwarrior (Open-source command-line task manager, no AI integration but lightweight and privacy-focused. - **OpenProject**: Web-based project management with task tracking, integrates with some CI/CD tools. - **Built-in Cursor features**: Check if Cursor's native task or project panel meets your needs before adding an external connector). You can also compare Task Master AI side by side with other MCP servers in the Related tools section on this page.

README badge and team notes

Maintain or use Task Master AI? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade D for Task Master AI

GitHub README Markdown:

markdown
[![AgentArmorHQ Risk Grade for Task Master AI](https://agentarmorhq.com/api/badge/eyaltoledano-claude-task-master)](https://agentarmorhq.com/skills/eyaltoledano-claude-task-master)

HTML embed:

html
<a href="https://agentarmorhq.com/skills/eyaltoledano-claude-task-master"><img src="https://agentarmorhq.com/api/badge/eyaltoledano-claude-task-master" alt="AgentArmorHQ Risk Grade for Task Master AI" height="20" /></a>

Terminal check:

terminal
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "eyaltoledano-claude-task-master"

Share with your security lead

Need sign-off to use task-master-ai? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: task-master-ai
- **Listing URL:** https://agentarmorhq.com/skills/eyaltoledano-claude-task-master
- **Type:** App connector
- **Risk Grade:** Grade D (High risk signals)
- **Outside Security Advisories on File:** 0

#### Permission & Blast-Radius Signals
- **Local files:** Reads & writes local folders
- **Command execution:** No shell command runner noted
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** npm (task-master-ai)

#### Recommended Hardened Setup
- **Command:** `npx -y --ignore-scripts task-master-ai`
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.

_Based on public adoption and transparency signals as of Oct 27, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type
App connector
Publisher
eyaltoledano
Source code
github.com/eyaltoledano/claude-task-master
Install command
npm install task-master-ai
Est. context load
~1k tokens / turn (~6 tool schemas, 0.5% of 200k context)
Popularity
15.4k weekly npm downloads
Last updated
2026-10-29
Last graded
2026-10-27

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