mcp-wakatime
Provides tools for retrieving WakaTime daily summaries, aggregate stats, durations for a date, and recent commits for a project.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-wakatimeshow my WakaTime summary for yesterday"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
@pipeworx/wakatime
WakaTime MCP — coding-time stats by user (langs, projects, editors, OSes). Free API key.
Part of Pipeworx — an MCP gateway connecting AI agents to 1476+ live data sources.
Auth
Platform:
PLATFORM_WAKATIME_KEY. BYO:?_apiKey=…(use your own API key — WakaTime data is per-user).
Related MCP server: WakaTime MCP Server
Tools
current_user()— authenticated user profileuser(user_id)— public profile (usecurrentfor self)summaries(user_id, start, end, project?, branches?, timeout?, writes_only?, timezone?)— daily summariesstats(user_id, range, project?, timeout?, writes_only?)— aggregate stats (range=last_7_days|last_30_days|last_6_months|last_year|all_time)durations(user_id, date, project?, branches?, timeout?, writes_only?, timezone?, slice_by?)— durations for a dateheartbeats(user_id, date)— raw heartbeats for a date (full visibility into edits)goals(user_id, page?)— user's goalsprojects(user_id, q?)— user's projectsleaders(language?, country_code?, page?)— public leaderboardcommits(user_id, project, author?, branch?, page?)— recent commits (if project linked to git)editors()— public editor statsmeta()— current API meta
Data source
https://wakatime.com/api/v1
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"wakatime": {
"url": "https://gateway.pipeworx.io/wakatime/mcp"
}
}
}What this endpoint actually serves
tools/list at https://gateway.pipeworx.io/wakatime/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}Both URLs reach the same gateway and the same 1476+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about Wakatime data" })The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
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Maintenance
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