How to connect Toggl Track to OpenClaw
Connect Toggl Track to OpenClaw with ClawLink: paste your Toggl Track key once and 21 tools work from chat. No MCP server to run, nothing stored on your machine.
Toggl TrackAPI KEYMCPToggl Track is a time tracking platform for recording work, managing projects and workspaces, producing reports, and configuring webhooks.. Once connected, OpenClaw can read and act on Toggl Track from chat — pairing, token refresh, and tool wiring handled for you.
The usual route to Toggl Track access for OpenClaw is an MCP server you configure and keep running, plus your own OAuth app or API keys. ClawLink gives OpenClaw a more practical Toggl Track setup: install one ClawHub skill, connect Toggl Track in the browser, and OpenClaw can call real Toggl Track actions from any chat surface with no auth, token refresh, or tool wiring to build yourself.
Setup
It takes three steps to connect OpenClaw to Toggl Track.
1Install the plugin
Paste the setup prompt into OpenClaw, or install from the terminal and ask OpenClaw to pair:
openclaw plugins install clawhub:clawlink-plugin- 2
Connect Toggl Track
Paste your API key in the dashboard.
- 3
Use it from chat
Ask OpenClaw: "What can you do with Toggl Track?"
Install by command
The setup prompt above does all of this in one paste. By hand, it is one install command plus a browser approval:
openclaw plugins install clawhub:clawlink-pluginThen ask OpenClaw to set up ClawLink. It starts browser pairing and prints an approval link — open it, approve the device, return to the chat, and say done. Finally, connect Toggl Track in the ClawLink dashboard — paste your Toggl Track API key once.
Verify the connection by asking OpenClaw:
Pull the relevant data from Toggl Track, summarize it in plain English, and point out anything that needs attention.
Using a different agent?
The OpenClaw plugin is one client of ClawLink's MCP server. Claude Code, Cursor, Codex, or any agent that can run a shell command pairs with the same ClawLink account through the CLI:
npx -y @useclawlink/cli loginlogin opens the same browser approval and stores a credential locally. Once Toggl Track is connected in the dashboard, that agent calls the same 21 Toggl Track tools over MCP. Full setup for MCP clients and shell agents: connect apps to any AI agent.
Toggl Track MCP for OpenClaw
Looking for a Toggl Track MCP server for OpenClaw? ClawLink connects Toggl Track to OpenClaw and exposes 21 Toggl Track tools your agent can call over MCP, with hosted auth and nothing to run or maintain yourself. Using Hermes instead? The Hermes Toggl Track integration works the same way.
What the OpenClaw Toggl Track integration can do
21 Toggl Track tools are ready for OpenClaw once the account is connected. The 17 below are the ones people reach for most; your agent can call all 21.
17 of 21 Toggl Track tools for OpenClaw
| Tool | What it does |
|---|---|
Get current time entry toggl_track_get_current_time_entry | Return the currently running time entry for the connected user, or indicate that no timer is |
Get current user toggl_track_get_current_user | Return the connected Toggl Track user's identity and defaults, including the default workspace |
Get time entry toggl_track_get_time_entry | Get one time entry by ID, with optional related-entity and sharing metadata |
List time entries toggl_track_list_time_entries | List the connected user's time entries in an explicit date range, optionally including related |
List workspace resources toggl_track_list_workspace_resources | Find projects, clients, tags, or tasks in a workspace and return their IDs for time-entry and |
List workspaces toggl_track_list_workspaces | List workspaces accessible to the connected user and return the IDs needed by workspace-scoped |
Run detailed time report toggl_track_run_detailed_time_report | Return one page of detailed, grouped time-entry report rows for a workspace and date range |
Bulk update time entries toggl_track_bulk_update_time_entries | Apply the same description and/or billable state to 1 to 100 Toggl Track time entries in one |
Create client toggl_track_create_client | Create a client in a workspace for grouping projects |
Create project toggl_track_create_project | Create a project in a workspace for organizing time entries and tasks |
Create task toggl_track_create_task | Create a task under an active project for more specific time-entry assignment |
Create time entry toggl_track_create_time_entry | Create a running or completed time entry in a workspace; omit duration and stop to start a |
Stop time entry toggl_track_stop_time_entry | Stop a currently running time entry and return its finalized timing data |
Update client toggl_track_update_client | Update a client's name, notes, or external reference |
Update project toggl_track_update_project | Update a project's name, client, active state, privacy, color, or date range |
Update task toggl_track_update_task | Update a task's name, completion state, estimate, assignee, or external reference |
Update time entry toggl_track_update_time_entry | Update the timing, description, assignment, billable state, or tags of an existing time entry |
Try it: find the Toggl Track tool you need
Browse the 17 Toggl Track tools
Click any tool to see exactly what OpenClaw can do and copy a ready-to-use prompt.
Example prompts
Pull the relevant data from Toggl Track, summarize it in plain English, and point out anything that needs attention.
Pull the relevant data from Toggl Track, summarize it in plain English, and point out anything that needs attention.
Pull the relevant data from Toggl Track, summarize it in plain English, and point out anything that needs attention.
List the relevant items in Toggl Track, group them by priority, and recommend what OpenClaw should do next.
ClawLink vs. building it yourself
The alternative to ClawLink is usually manual API key setup plus your own token handling, permission troubleshooting, and tool plumbing for OpenClaw. That is fine if you want to build and maintain the integration yourself. Most teams just want Toggl Track working from chat.
| Manual | ClawLink | |
|---|---|---|
| Credential handling | Collect, validate, store, and rotate the Toggl Track API key yourself, then make sure every tool call uses the right account. | Users complete the hosted ClawLink setup once and the connected Toggl Track account becomes available to the agent without you building credential management. |
| Ongoing maintenance | You own refresh logic, permission debugging, environment config, and every provider-specific edge case for Toggl Track. | ClawLink handles the repetitive integration plumbing so your team can focus on the workflow instead of the infrastructure. |
| Agent usability | You still need to expose the right Toggl Track actions to the runtime in a format your agent can reliably use. | 21 tools for Toggl Track are already exposed through ClawLink, so the agent can read and act from chat immediately. |
ClawLink vs. Composio
Composio also exposes Toggl Track to AI agents. It is developer infrastructure: Python and TypeScript SDKs, an MCP server, and a catalog past 1,000 apps, aimed at teams shipping agent products. ClawLink is built for OpenClaw users instead. You install the plugin once, connect Toggl Track in the browser, and the 21 tools above work from chat. There is no SDK and no config file, and the Toggl Track key you paste at setup is stored server-side rather than kept in your environment. Choosing between them? Read the full Composio alternatives comparison.
Troubleshooting
OpenClaw installed the Toggl Track skill but can't call the tools
The ClawHub skill teaches OpenClaw about Toggl Track, but the calls run through the ClawLink plugin and your connected account. Make sure Toggl Track is connected in the dashboard, then start a fresh chat so OpenClaw reloads the tool catalog. If OpenClaw runs as a persistent gateway, restart it so the new tools register.
Connection succeeds but no tools appear
Reconnect Toggl Track from the dashboard, then start a fresh chat if the runtime still has the old tool catalog loaded.
"Tool schema not loaded yet" error when calling Toggl Track tools
Toggl Track tool schemas load on demand the first time a tool runs and are cached after that, so this error usually clears on its own: wait a few seconds and retry the same request. If every Toggl Track call keeps failing with it in a fresh chat, reconnect from the dashboard, and contact support if it still persists — that pattern points to a configuration problem on our side, not something you can fix by reconnecting again.
Toggl Track returns 403 or "permission denied" on one action while others work
Two usual causes. The connected account may not have access to the specific workspace, inbox, store, or project in the request — check that first. If access looks right, the agent may have sent a placeholder value (like "YOUR_ID" or an example id from documentation) instead of a real one: ask it to run a list or search tool first, then retry the action with a real id from those results. Most failures at this stage are one of these two, not ClawLink bugs.
API key setup works but results look incomplete
Double-check that the API key for Toggl Track has the right scopes or account access. A valid key can still be too limited for some reads or writes.
FAQ
Is there a OpenClaw Toggl Track integration?
Yes. ClawLink is the fastest way to connect OpenClaw to Toggl Track: link your Toggl Track account once in the browser and OpenClaw can call the Toggl Track API through 21 ready-made tools — no custom code or token handling.
How do I add Toggl Track to OpenClaw with ClawLink?
Paste the setup prompt from this page into OpenClaw. It installs the ClawLink Toggl Track skill from ClawHub, then you click Connect in the dashboard to authorize Toggl Track. OpenClaw calls the tools from the next message — no config files, and the Toggl Track key you paste is stored server-side instead of in your environment.
How long does it take to connect Toggl Track to OpenClaw?
About two minutes. Sign in, click Connect next to Toggl Track in the dashboard, authenticate, and OpenClaw can use it from the next chat message.
Why use ClawLink instead of wiring Toggl Track up myself?
The alternative to ClawLink is usually manual API key setup plus your own token handling, permission troubleshooting, and tool plumbing for OpenClaw. That is fine if you want to build and maintain the integration yourself. Most teams just want Toggl Track working from chat.
OpenClaw installed the Toggl Track skill but can't call the tools
The ClawHub skill teaches OpenClaw about Toggl Track, but the calls run through the ClawLink plugin and your connected account. Make sure Toggl Track is connected in the dashboard, then start a fresh chat so OpenClaw reloads the tool catalog. If OpenClaw runs as a persistent gateway, restart it so the new tools register.
