pulsemcp Safe content atomic mcp-remote

Things App

This MCP server, developed by hald, integrates with the Things task management app to enable AI assistants to interact with users' task data. It leverages the Things.py library and Things URL scheme to provide a wide range of operations including creating tasks, analyzing projects, managing priorities, and more. The implementation is built in Python 3.12+ and uses modern dependencies like httpx and pydantic. It's designed for Things users who want to incorporate AI assistance into their productivity workflow, allowing for natural language queries and updates to their task lists, projects, and areas.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: productivity
Source: PulseMCP
Repository: github.com/hald/things-mcp
Author type: human
Updated: 2026-05-22

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MCP

Resolve Things App 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"