# TickTick MCP Server (Vercel)

> Use this tool when you need to manage tasks and projects seamlessly within AI clients, enabling efficient task creation, updating, and completion. It solves problems of task synchronization and automation, allowing for streamlined workflows through the Model Context Protocol. This tool accepts task-related inputs and outputs task statuses, ideal for use in AI-driven productivity and project management contexts.

Canonical page: https://skillsregistry.net/skills/shunkus-ticktick-mcp-vercel  
JSON: https://api.skillsregistry.net/v1/skills/shunkus-ticktick-mcp-vercel

## Description

Enables management of TickTick tasks and projects through the Model Context Protocol, supporting deployment on Vercel with SSE capabilities. Users can list, create, update, and complete tasks directly within AI clients like Claude.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wi1gx48lv8)
- **Repository:** <https://github.com/shunkus/ticktick-mcp-vercel>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "shunkus-ticktick-mcp-vercel"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shunkus-ticktick-mcp-vercel` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shunkus-ticktick-mcp-vercel/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt