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TaskWarrior

This MCP server implementation provides a bridge to TaskWarrior, enabling AI assistants to interact with task management operations. Developed by Brock Wilcox, it offers tools for viewing pending tasks, adding new tasks with various attributes, and marking tasks as complete. Built with TypeScript and integrating the Model Context Protocol SDK, the server focuses on executing TaskWarrior commands through a simple interface. It is particularly useful for AI applications that need to automate task management, such as personal productivity assistants or project management systems. The implementation leverages the local TaskWarrior installation, allowing seamless integration with existing task databases and workflows.

Cognium trust score

100%

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 2026-09-19.

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: database
Source: PulseMCP
Repository: github.com/awwaiid/mcp-server-taskwarrior
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve TaskWarrior 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"