MCP server
by kalendis-dev
Kalendis offers a robust scheduling backend API for Google Calendar integrations, supporting TypeScript clients and popu
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.
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.
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.
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.
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
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
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
Share your MCP server with the developer community
Kalendis reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
According to our notes, Kalendis benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Useful MCP listing: Kalendis is the kind of server we cite when onboarding engineers to host + tool permissions.
We evaluated Kalendis against two servers with overlapping tools; this profile had the clearer scope statement.
Useful MCP listing: Kalendis is the kind of server we cite when onboarding engineers to host + tool permissions.
Strong directory entry: Kalendis surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Kalendis has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: Kalendis surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Kalendis is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
I recommend Kalendis for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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MCP (Model Context Protocol) server and client generator for Kalendis scheduling API integration.
npm install @kalendis/mcp
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.
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">
Alternatively, add this to your MCP settings:
{
"mcpServers": {
"kalendis": {
"command": "npx",
"args": ["-y", "@kalendis/mcp"]
}
}
}
Once configured, the AI agent can use these tools:
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: 'john@example.com' });
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();
Generates App Router API routes:
// app/api/users/route.ts
export async function GET(request: Request) {
// Implementation using backend client
}
Generates Express router handlers:
// routes/api.ts
router.get('/users', async (req, res) => {
// Implementation using backend client
});
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;
});
}
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
The tool supports all 28 Kalendis API endpoints:
The tool supports three environments:
https://sandbox.api.kalendis.devhttps://api.kalendis.devAll 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.
The generated clients provide clear error messages:
To build the MCP tool locally:
git clone https://github.com/kalendis-dev/kalendis-mcp.git
cd kalendis-mcp
npm install
npm run build
Contributions are welcome! Please feel free to submit a Pull Request.
git checkout -b feature/amazing-feature)git commit -m 'Add some amazing feature')git push origin feature/amazing-feature)This project is licensed under the MIT License - see the LICENSE file for details.
For issues or questions:
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ 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.