pulsemcp verified Safe content atomic mcp-remote

Tasks

This MCP server provides AI assistants with task management capabilities across multiple file formats (Markdown, JSON, YAML), built by Ariel Flesler using TypeScript with FastMCP and featuring five core tools for task setup, searching, adding, updating, and summarization with automatic work-in-progress management. The implementation offers flexible file format support with intelligent parsing, duplicate task handling, batch operations for efficiency, configurable status workflows with automatic transitions between To Do/In Progress/Done states, and both CLI and server modes with HTTP/stdio transport options. Built with comprehensive validation using Zod schemas, Docker deployment support, source file registration with workspace awareness, and published as an npm package with global CLI access, it serves development teams needing conversational task tracking integrated with their existing file-based workflows, project managers requiring AI-driven task organization without switching tools, and teams where natural language interfaces enhance productivity by eliminating manual task file editing.

Cognium trust score

97%

Tier

Verified

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 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: cloud-infra
Source: PulseMCP
Repository: github.com/flesler/mcp-tasks
Author type: human
Last scanned: 2026-09-28
Updated: 2026-09-28

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MCP

Resolve Tasks 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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"