TaskFlow
TaskFlow MCP is a task management server developed by Pink Pixel that helps AI assistants break down user requests into manageable tasks with subtasks, dependencies, and notes. It implements a structured workflow where tasks must be approved by users before proceeding to the next one, ensuring proper tracking and user control throughout the process. The server stores tasks in a JSON file and provides tools for planning tasks, tracking progress with visual tables, managing subtasks, adding dependencies and notes, and exporting status reports in various formats. This implementation is particularly valuable for project management scenarios where systematic task breakdown, progress tracking, and user approval are essential.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- productivity
- Source
- PulseMCP
- Repository
- github.com/pinkpixel-dev/taskflow-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve TaskFlow from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.