Clockodo MCP Server
A TypeScript-based MCP server that integrates with the Clockodo time tracking API, enabling access to users, time entries, and projects.
README
Clockodo MCP Server
A TypeScript-based Model Context Protocol (MCP) server that integrates with the Clockodo time tracking API. This server provides comprehensive access to your Clockodo data through the standardized MCP protocol, enabling Claude Desktop and other MCP clients to interact with users, time entries, and projects from your Clockodo instance.
Features
- Users Resource: Access all registered users from your Clockodo instance
- Entries Resource: Retrieve time entries for specific users within date ranges
- Projects Resource: Access all projects with detailed information including budgets and status
- Automatic Pagination: Handles multiple pages of data automatically
- Real-time Data: Fetches live data from Clockodo API
- Comprehensive Logging: Detailed API request/response logging for debugging
- Type Safety: Full TypeScript implementation with Zod validation
- MCP Compliant: Follows Model Context Protocol standards for seamless integration
Prerequisites
- Node.js (v18 or later)
- npm or yarn
- Clockodo account with API access
- Clockodo API credentials (email and API key)
Installation
- Clone the repository:
git clone <repository-url>
cd clockodo-ts
- Install dependencies:
npm install
- Create environment file:
cp .env.example .env
-
Configure your Clockodo credentials in
.env(see Configuration) -
Build the project:
npm run build
Configuration
Create a .env file in the project root with your Clockodo credentials:
CLOCKODO_EMAIL=your-email@example.com
CLOCKODO_API_KEY=your-api-key-here
Getting Clockodo API Credentials
- Log in to your Clockodo account
- Go to Settings → API
- Generate or copy your API key
- Use your Clockodo login email as
CLOCKODO_EMAIL
Usage
Development Mode
For development with live TypeScript compilation:
npm run dev
Production Mode
Build and run the compiled server:
npm run build
node build/index.js
MCP Client Integration
Claude Desktop
Add to your Claude Desktop MCP configuration:
{
"mcpServers": {
"clockodo": {
"command": "node",
"args": ["/absolute/path/to/your/clockodo-ts/build/index.js"],
"env": {
"CLOCKODO_EMAIL": "your-email@example.com",
"CLOCKODO_API_KEY": "your-api-key"
}
}
}
}
Or using your existing .env file:
{
"mcpServers": {
"clockodo": {
"command": "node",
"args": ["/absolute/path/to/your/clockodo-ts/build/index.js"],
"cwd": "/absolute/path/to/your/clockodo-ts"
}
}
}
Note: Replace /absolute/path/to/your/clockodo-ts with the actual absolute path to your project directory.
MCP Inspector
For development and testing:
npx @modelcontextprotocol/inspector
Configure with:
- Server Command:
npx tsx /absolute/path/to/your/clockodo-ts/src/index.ts - Transport: stdio
- Working Directory:
/absolute/path/to/your/clockodo-ts
Available Resources
Users Resource
- URI:
clockodo://users - Description: Retrieves all registered users from your Clockodo instance
- Data: Complete user information including names, emails, roles, and settings
- Format: JSON array of user objects
Example usage in Claude:
Can you show me all users from my Clockodo instance?
Entries Resource
- URI:
clockodo://entries/{userId}/{timeSince}/{timeUntil} - Description: Retrieves time entries for a specific user within a given timeframe
- Parameters:
userId: Clockodo user ID (number)timeSince: Start date in ISO 8601 format (e.g.,2025-09-01T00:00:00Z)timeUntil: End date in ISO 8601 format (e.g.,2025-09-30T23:59:59Z)
- Data: Complete time entry information including project details, time spent, and descriptions
- Format: JSON array of entry objects
Example usage in Claude:
Show me time entries for user 148226 from September 1-30, 2025
What did I work on last week? --clockodo
Example URIs:
clockodo://entries/148226/2025-09-01T00:00:00Z/2025-09-30T23:59:59Zclockodo://entries/123/2024-12-01T00:00:00Z/2024-12-31T23:59:59Z
Projects Resource
- URI:
clockodo://projects - Description: Retrieves all projects from your Clockodo instance
- Data: Complete project information including:
- Project names, numbers, and descriptions
- Customer assignments and relationships
- Budget information (monetary amounts, hard/soft budgets)
- Project status (active, completed, dates)
- Billing settings and revenue factors
- Detailed notes and contact information
- Format: JSON array of project objects
Example usage in Claude:
Show me all projects from Clockodo
Which projects are currently active?
What's the budget for project "Agile Coaching 2025"?
API Structure
Project Structure
src/
├── index.ts # Main MCP server entry point
├── clockodo.ts # Clockodo API client
build/
├── index.js # Compiled executable
├── clockodo.js # Compiled API client
Key Components
- McpServer: Main server instance handling MCP protocol
- ClockodoAPI: API client for Clockodo integration with comprehensive logging
- StdioServerTransport: Communication layer for MCP clients
- Zod Schemas: Type validation for API responses (Users, Entries, Projects)
- Logger: Built-in logging system that writes to
clockodo-api.log
Development
Scripts
npm run dev- Start development server with live reloadnpm run build- Build TypeScript to JavaScriptnpm test- Run tests (if implemented)
Testing API Integration
Test your Clockodo API connection directly:
curl "https://my.clockodo.com/api/v3/users?page=1" \
-H "Accept: application/json" \
-H "X-ClockodoApiUser: your-email@example.com" \
-H "X-ClockodoApiKey: your-api-key" \
-H "X-Clockodo-External-Application: mcp-ts"
MCP Protocol Testing
Test MCP protocol responses:
# List all available resources
echo '{"jsonrpc": "2.0", "method": "resources/list", "id": 1, "params": {}}' | npm run dev
# Test users resource
echo '{"jsonrpc": "2.0", "method": "resources/read", "id": 2, "params": {"uri": "clockodo://users"}}' | npm run dev
# Test projects resource
echo '{"jsonrpc": "2.0", "method": "resources/read", "id": 3, "params": {"uri": "clockodo://projects"}}' | npm run dev
# Test entries resource (replace with actual user ID and dates)
echo '{"jsonrpc": "2.0", "method": "resources/read", "id": 4, "params": {"uri": "clockodo://entries/148226/2025-09-01T00:00:00Z/2025-09-30T23:59:59Z"}}' | npm run dev
Logging and Debugging
The server includes comprehensive logging that writes to clockodo-api.log:
- All API requests and responses
- Authentication details (API keys are masked)
- Data validation results
- Error details and stack traces
To monitor logs in real-time:
tail -f clockodo-api.log
Error Handling
The server includes comprehensive error handling:
- Authentication Errors: Invalid Clockodo credentials
- API Errors: Clockodo API failures or rate limits
- Validation Errors: Invalid API response formats
- Network Errors: Connection timeouts or network issues
All errors are properly formatted as MCP protocol error responses.
Security
- Environment variables are required for API credentials
- No credentials are logged or exposed in error messages
- API requests include proper authentication headers
- All API responses are validated before processing
Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests if applicable
- Submit a pull request
Troubleshooting
Common Issues
"Environment variables are required" error:
- Ensure
.envfile exists with correct credentials - Check that
dotenv.config()is called before importing other modules
"Invalid API response format" errors:
- Verify your Clockodo API credentials are correct
- Check if your API key has proper permissions
- Ensure your Clockodo account has access to the users endpoint
MCP connection issues:
- Verify the server starts without errors in development mode
- Check that your MCP client configuration points to the correct path
- Ensure the server process has proper permissions
Debug Mode
Run with debug output:
DEBUG=* npm run dev
License
[Add your license here]
Support
For issues related to:
- MCP Protocol: See Model Context Protocol documentation
- Clockodo API: See Clockodo API documentation
- This Project: Create an issue in this repository
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.