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Provides Clockify data access via MCP, enabling time entries, projects, tasks, and workspace management through MCP clients.
Configuration
View docs{
"mcpServers": {
"aslamanver-mcp_clockify": {
"command": "npx",
"args": [
"-y",
"mcp_clockify@latest"
],
"env": {
"CLOCKIFY_API_KEY": "YOUR_CLOCKIFY_API_KEY_HERE"
}
}
}
}Clockify MCP Server provides a dedicated bridge between your AI assistants and Clockify, letting you manage time entries, projects, tasks, users, and workspaces through MCP-compatible clients. It centralizes Clockify actions into a single, programmable endpoint you can query from your copilots or automation workflows.
You connect to the Clockify MCP Server from any MCP-compatible client (such as VS Code, Claude Desktop, or Gemini) and issue high-level commands to manage time tracking data. Practical workflows include creating time entries for specific projects, listing projects across workspaces, retrieving your user profile, and updating or deleting existing time entries. Use the available tools to fetch user info, list workspaces, browse projects, list tasks, and perform CRUD operations on time entries. Each action is performed via the MCP client, which passes your request to the Clockify MCP Server and returns the results.
{
"servers": {
"clockify_mcp": {
"command": "npx",
"args": ["-y", "mcp_clockify@latest"],
"env": {
"CLOCKIFY_API_KEY": "your-clockify-api-key-here"
}
}
}
}If you prefer a local development setup, you can clone the project, install dependencies, build the project, and run it locally. You will supply your Clockify API key as an environment variable when starting the server so all requests to Clockify are authenticated.
Retrieve current user profile information from Clockify.
List all accessible Clockify workspaces.
List projects within a specific workspace, with optional name filtering.
List tasks within a specific project.
Create a new time entry in Clockify.
Update an existing time entry in Clockify.
Delete a time entry from Clockify.
List time entries with date filtering.