pulsemcp Safe content atomic mcp-remote

TickTick

TickTick MCP Server provides integration with the TickTick task management API, enabling AI assistants to create, read, update, and delete tasks and projects. The implementation handles OAuth2 authentication flow with automatic token refresh, securely storing credentials in environment variables. Built by Jaesung Park, it features a comprehensive client that abstracts away API complexities and includes a CLI utility for easy authentication setup. This server is ideal for productivity workflows that need to programmatically manage tasks, track projects, or automate task creation based on AI-generated content.

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: security
Source: PulseMCP
Repository: github.com/jacepark12/ticktick-mcp
Author type: human
Updated: 2026-04-29

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MCP

Resolve TickTick 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"