MCP Toggl
MCP server for Toggl Track integration with intelligent caching and reporting tools
What is MCP Toggl?
MCP Toggl is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for toggl track integration with intelligent caching and reporting tools
MCP server for Toggl Track integration with intelligent caching and reporting tools
This server falls under the Business Applications category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- MCP server for Toggl Track integration with intelligent cach
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx mcp-togglConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use MCP Toggl
MCP Toggl connects Claude and other MCP-compatible clients directly to your Toggl Track account, giving AI agents the ability to pull time entries, generate daily and weekly reports, start and stop timers, and inspect Toggl Track Desktop activity timelines. It enriches every time entry response with project, client, workspace, and tag context so you can ask questions like 'Give me a recap of my week' and get a fully synthesized answer without any manual data wrangling. Built-in intelligent caching keeps workspace and project data fast, and privacy controls let you redact window titles before sharing timeline data.
Prerequisites
- Node.js v20.19.0 or v22.12.0 or later
- A Toggl Track account (free tier works)
- Your Toggl API token from track.toggl.com/profile
- An MCP-compatible client such as Claude Desktop
Retrieve your Toggl API token
Log in to Toggl Track, navigate to your profile page at track.toggl.com/profile, and scroll to the API token section. Copy the token — you will need it as the TOGGL_API_KEY environment variable.
Optionally identify your workspace ID
If you have multiple Toggl workspaces, find the numeric workspace ID from the workspace settings URL or by calling the Toggl API. Set it as TOGGL_DEFAULT_WORKSPACE_ID so every tool knows which workspace to use by default. If you only have one workspace, the server resolves it automatically.
Add the server to Claude Desktop config
Open your Claude Desktop configuration file and add the mcp-toggl entry under mcpServers. The package is published as @verygoodplugins/mcp-toggl on npm.
{
"mcpServers": {
"mcp-toggl": {
"command": "npx",
"args": ["-y", "@verygoodplugins/mcp-toggl@latest"],
"env": {
"TOGGL_API_KEY": "your_api_key_here",
"TOGGL_DEFAULT_WORKSPACE_ID": "123456"
}
}
}
}Restart Claude Desktop
Save the config file and fully restart Claude Desktop. The server will launch on demand via npx — no separate install step is needed.
Warm the cache before heavy reporting
For faster report generation, ask Claude to warm the cache. This pre-fetches workspace, project, client, and tag data so subsequent report calls are served from cache rather than hitting the Toggl API on every request.
Optional: install globally for manual use
If you want to run the server outside of Claude Desktop or test it from the CLI, install the package globally.
npm install -g @verygoodplugins/mcp-toggl
mcp-toggl --helpMCP Toggl Examples
Client configuration
Claude Desktop configuration snippet for MCP Toggl with API key and optional workspace ID.
{
"mcpServers": {
"mcp-toggl": {
"command": "npx",
"args": ["-y", "@verygoodplugins/mcp-toggl@latest"],
"env": {
"TOGGL_API_KEY": "your_toggl_api_token",
"TOGGL_DEFAULT_WORKSPACE_ID": "123456",
"TOGGL_CACHE_TTL": "3600000"
}
}
}
}Prompts to try
Example questions you can ask Claude once the server is connected.
- "What am I currently tracking?"
- "Give me a recap of my week — hours by project with daily totals"
- "Start a timer for 'PR review' on the Platform project"
- "Show me yesterday's hours broken down by project"
- "Which day last month had the most billable work?"
- "Compare this week to last week by project"
- "What apps did I use most in the Toggl Desktop timeline today?"Troubleshooting MCP Toggl
Error: 'workspace not found' or tools return available_workspaces list instead of data
You have multiple Toggl workspaces and TOGGL_DEFAULT_WORKSPACE_ID is not set. Find your workspace ID in Toggl Track workspace settings and add it to the env block in your config.
Stale project or client names appearing in reports after renaming them in Toggl
The server caches workspace entities for up to 1 hour by default. Ask Claude to run toggl_clear_cache to flush the cache, or restart the MCP server. You can also lower TOGGL_CACHE_TTL in the env config.
Timeline data shows no events even though Toggl Track Desktop is installed
The toggl_get_timeline tool requires Toggl Track Desktop to be running and timeline recording to be enabled in its preferences. Also make sure include_events is not set to false in the call parameters.
Frequently Asked Questions about MCP Toggl
What is MCP Toggl?
MCP Toggl is a Model Context Protocol (MCP) server that mcp server for toggl track integration with intelligent caching and reporting tools It connects AI assistants to external tools and data sources through a standardized interface.
How do I install MCP Toggl?
Follow the installation instructions on the MCP Toggl GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with MCP Toggl?
MCP Toggl works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is MCP Toggl free to use?
Yes, MCP Toggl is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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