Kalendis▌
by kalendis-dev
Kalendis offers a robust scheduling backend API for Google Calendar integrations, supporting TypeScript clients and popu
Kalendis is a scheduling backend API that provides an MCP server for generating TypeScript clients and framework-specific API route handlers (Next.js, Express, Fastify, NestJS).
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Full-stack developers building scheduling applications
- / Teams integrating calendar functionality across different frameworks
- / Rapid prototyping of booking and appointment systems
capabilities
- / Generate TypeScript clients for backend Kalendis API integration
- / Generate frontend TypeScript clients for API calls
- / Create API route handlers for Next.js, Express, Fastify, and NestJS
- / List all available Kalendis API endpoints with descriptions
what it does
Generates TypeScript clients and API route handlers for the Kalendis scheduling API across multiple frameworks. Helps developers quickly integrate calendar and scheduling functionality into their applications.
about
Kalendis is an official MCP server published by kalendis-dev that provides AI assistants with tools and capabilities via the Model Context Protocol. Kalendis offers a robust scheduling backend API for Google Calendar integrations, supporting TypeScript clients and popu It is categorized under developer tools. This server exposes 4 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install Kalendis in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Kalendis is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Kalendis MCP Tool
MCP (Model Context Protocol) server and client generator for Kalendis scheduling API integration.
Features
- 🔧 MCP Server: Exposes Kalendis API tools for use with Claude, Cursor, etc
- 🚀 Client Generator: Generates TypeScript clients for backend and frontend applications
- 🛣️ Route Generator: Creates API route handlers for Next.js, Fastify, NestJS and Express
- 🔐 Secure: Uses environment variables for API key management
- 📝 Type-safe: Full TypeScript support with generated types
Installation
npm install @kalendis/mcp
Quick Start
1. Get Your API Key
Before using the Kalendis MCP tool, you'll need an API key. Create a free account at kalendis.dev to get started. Your API key will be available in your account dashboard and is required for authenticating requests to the Kalendis scheduling API.
2. Configure MCP Server
Quick Install (Cursor IDE)
Click the button below to automatically add Kalendis to your Cursor IDE:
<img src="https://cursor.com/deeplink/mcp-install-dark.png" alt="Add to Cursor" height="40">
Manual Configuration
Alternatively, add this to your MCP settings:
{
"mcpServers": {
"kalendis": {
"command": "npx",
"args": ["-y", "@kalendis/mcp"]
}
}
}
3. Available MCP Tools
Once configured, the AI agent can use these tools:
- generate-backend-client: Generate a TypeScript client for direct API calls
- generate-frontend-client: Generate a TypeScript client for frontend applications
- generate-api-routes: Generate API route handlers for Next.js, Express, Fastify, or NestJS
- list-endpoints: List all available Kalendis API endpoints
Client Generation
Backend Client
Generate a client that calls the Kalendis API directly:
// Generated client usage
import KalendisClient from './generated/kalendis-client';
// Initialize with your API key (from environment variable, config, etc.)
const client = new KalendisClient({
apiKey: process.env.MY_API_KEY, // You choose the env var name
});
const users = await client.getUsers();
const user = await client.createUser({ name: 'John Doe', email: '[email protected]' });
Frontend Client
Generate a client that calls your backend API endpoints:
// Generated frontend client usage
import api from './generated/frontend-client';
// Calls your backend endpoints (e.g., /api/users)
const users = await api.getUsers();
API Routes
Next.js Routes
Generates App Router API routes:
// app/api/users/route.ts
export async function GET(request: Request) {
// Implementation using backend client
}
Express Routes
Generates Express router handlers:
// routes/api.ts
router.get('/users', async (req, res) => {
// Implementation using backend client
});
Fastify Routes
Generates Fastify plugin with route handlers:
// routes/kalendis.ts
export default async function routes(fastify: FastifyInstance) {
fastify.get('/api/users', async (request, reply) => {
// Implementation using backend client
return users;
});
}
NestJS Module
Generates complete NestJS module with controller, service, and module files:
// kalendis.controller.ts
@Controller('api')
export class KalendisController {
@Get('users')
async getUsers() {
return this.kalendisService.getUsersByAccountId();
}
}
// kalendis.service.ts - Wraps the backend client
// kalendis.module.ts - Wire everything together
API Endpoints Coverage
The tool supports all 28 Kalendis API endpoints:
Users
- GET /v1/users - Fetch all users
- POST /v1/users - Create user
- PUT /v1/users/:id - Update user
- DELETE /v1/users/:id - Delete user
Availability
- GET /v1/availability - Get availability with filters
- GET /v1/availability/all - Get all availability
- GET /v1/availability/calculated - Get calculated availability
- GET /v1/availability/recurring - Get recurring availability
- GET /v1/availability/matching - Get matching availability
- POST /v1/availability - Add availability
- PUT /v1/availability/:id - Update availability
- DELETE /v1/availability/:id - Delete availability
Recurring Availability
- GET /v1/recurring-availability - Get recurring availability
- POST /v1/recurring-availability - Add recurring availability
- PUT /v1/recurring-availability/:id - Update recurring availability
- DELETE /v1/recurring-availability/:id - Delete recurring availability
Availability Exceptions
- GET /v1/availability-exceptions - Get exceptions
- POST /v1/availability-exceptions - Add exception
- POST /v1/availability-exceptions/recurring - Add recurring exception
- PUT /v1/availability-exceptions/:id - Update exception
- DELETE /v1/availability-exceptions/:id - Delete exception
Bookings
- GET /v1/bookings - Get bookings
- GET /v1/bookings/:userId - Get user bookings
- POST /v1/bookings - Create booking
- PUT /v1/bookings/:id - Update booking
- DELETE /v1/bookings/:id - Delete booking
Account
- GET /v1/account - Get account info
- PUT /v1/account - Update account
Environment Configuration
The tool supports three environments:
- development:
https://sandbox.api.kalendis.dev - production:
https://api.kalendis.dev
Authentication
All API calls to the Kalendis scheduling service require authentication via the x-api-key header.
The generated clients require you to provide an API key when instantiating:
// You control how to manage your API key
const client = new KalendisClient({
apiKey: process.env.KALENDIS_API_KEY, // or from config, secrets manager, etc.
});
The generated API route handlers use environment variables by default, but you can customize this:
# Example: Set in your application's environment
export KALENDIS_API_KEY="your-api-key-here"
Note: The MCP tool itself doesn't need or use the API key - it only generates code. The API key is used by the generated clients in your application.
Error Handling
The generated clients provide clear error messages:
- 401: Authentication failed - Invalid or missing API key
- 403: Permission denied - API key lacks required permissions
- Network errors: Clear connection failure messages
- API errors: Detailed error messages from the API
Development
To build the MCP tool locally:
git clone https://github.com/kalendis-dev/kalendis-mcp.git
cd kalendis-mcp
npm install
npm run build
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
License
This project is licensed under the MIT License - see the LICENSE file for details.
Support
For issues or questions:
- Open an issue on GitHub
- Email: [email protected]
FAQ
- What is the Kalendis MCP server?
- Kalendis is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Kalendis?
- This profile displays 65 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.6★★★★★65 reviews- ★★★★★Ganesh Mohane· Dec 24, 2024
Kalendis reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Noah Chen· Dec 20, 2024
According to our notes, Kalendis benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Noah Menon· Dec 8, 2024
Useful MCP listing: Kalendis is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Noor Robinson· Dec 8, 2024
We evaluated Kalendis against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Jin Li· Dec 4, 2024
Useful MCP listing: Kalendis is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Noah Martin· Nov 27, 2024
Strong directory entry: Kalendis surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Advait Ghosh· Nov 27, 2024
Kalendis has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Omar Yang· Nov 23, 2024
Strong directory entry: Kalendis surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Olivia Farah· Nov 19, 2024
Kalendis is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Sakshi Patil· Nov 15, 2024
I recommend Kalendis for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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