TickTick MCP Server (Vercel)
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.
README
TickTick MCP Server (Vercel)
A Model Context Protocol server for TickTick, deployed on Vercel.
Deploy to Vercel
1. Environment Variables
Set these in Vercel Dashboard > Settings > Environment Variables:
| Variable | Description |
|---|---|
TICKTICK_ACCESS_TOKEN |
Your TickTick API access token |
REDIS_URL |
Redis connection URL (for SSE transport) |
2. Add Redis (for SSE support)
- Go to Vercel Dashboard > Storage
- Add Upstash Redis
- The
REDIS_URLwill be automatically configured
3. Deploy
vercel --prod
Connect from Claude
Option 1: Claude Pro/Max/Team/Enterprise
- Open Claude Desktop or claude.ai
- Go to Settings > Connectors
- Add new connector with URL:
https://your-app.vercel.app/api/mcp
Option 2: Using mcp-remote (Free users)
Edit ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"ticktick": {
"command": "npx",
"args": [
"mcp-remote",
"https://your-app.vercel.app/api/sse"
]
}
}
}
Available Tools
| Tool | Description |
|---|---|
list_projects |
List all TickTick projects |
get_tasks |
Get tasks (all or by project) |
create_task |
Create a new task |
update_task |
Update an existing task |
complete_task |
Mark task as completed |
delete_task |
Delete a task |
Local Development
# Install dependencies
npm install
# Set environment variables
export TICKTICK_ACCESS_TOKEN="your-token"
export REDIS_URL="your-redis-url" # Optional for local
# Run development server
npm run dev
Test with MCP Inspector:
npx @anthropic-ai/mcp-inspector
Endpoints
/api/mcp- Streamable HTTP transport (recommended)/api/sse- Server-Sent Events transport
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.