How to Use the Toggl Plan MCP in Claude Code

Q: Can I delete tasks using Toggl Plan and Claude Code?

Yes. For scheduled cleanup scripts, you can call deletetimelinetask directly from your terminal script. Just remember that this action is permanent, so double-check the target task ID before running it.

Q: What data does Toggl Plan touch when used with Claude Code?

The server handles project names, team member lists (listworkspacemembers), and timeline tasks. Because this is a headless execution environment, the output is pure, structured text that your script can parse.

Automate project planning lifecycle management in any shell script using Claude Code.

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Connect Toggl Plan MCP to Claude Code

Create your Vinkius account to connect Toggl Plan to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Toggl Plan with Claude Code

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Check Project Scope with Claude Code MCP Server

Before a deployment, you need to know what's active. Your script can execute `list_workspace_projects` and pipe the resulting list into an environment variable for subsequent checks. It’s simple data extraction for automation.

Verify Milestones with Claude Code MCP Server

Use a cron job to check project readiness. Running `list_milestones` provides all marker dates on the timeline, allowing your script to verify if critical phases were hit before proceeding with deployment scripts.

Manage Tasks via Claude Code MCP Server

Need to update a task status as part of an automated workflow? Your shell script can call `update_timeline_task` by passing the required JSON object directly from standard input, making it ideal for CI/CD pipelines.

Setup guide

Set up Toggl Plan MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see toggl-plan-1-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Toggl Plan transactions." It will automatically discover and invoke the available Toggl Plan tools.

Terminal

claude mcp add --transport http toggl-plan-1-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Toggl Plan MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "toggl-plan-1-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about Toggl Plan MCP in Claude Code

You execute a simple command that calls the MCP Server. The shell script handles the authentication and passes arguments, like date ranges for `get_timeline_view`, which returns machine-readable JSON output ready for piping.

Yes. For scheduled cleanup scripts, you can call `delete_timeline_task` directly from your terminal script. Just remember that this action is permanent, so double-check the target task ID before running it.

The server handles project names, team member lists (`list_workspace_members`), and timeline tasks. Because this is a headless execution environment, the output is pure, structured text that your script can parse.

It’s perfect. You write the connection details once in your GitHub Action or Dockerfile. Then, you just call the tools—like `list_workspace_tags`—and capture that output to enforce build gates.

The server interacts primarily with project names, task details (via `get_task_details`), and team member lists. This text-based access makes it reliable for automated scripting.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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