mcpField
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Wakatime

Wakatime

Remote
pipeworx.ioProductivity0Updated 5w ago

About Wakatime

Wakatime is an MCP server for developers who want to inspect WakaTime coding activity. It provides user profiles, time summaries, aggregate statistics, project and editor data, goals, and related records.

Key features

  1. 01Retrieve daily summaries and aggregate stats
  2. 02Inspect durations and raw heartbeats
  3. 03Browse profiles, projects, and goals
  4. 04Query commits and public leaderboards

Use cases

  1. 01Review coding time by day or date range
  2. 02Compare activity across projects or languages
  3. 03Inspect edit heartbeats for a specific date

MCP support

Exposes WakaTime API data and operations as tools for MCP clients. It can connect through the Pipeworx gateway or run locally over stdio; a WakaTime API key is used for user-specific data.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://gateway.pipeworx.io/wakatime/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

@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 1684+ live data sources.

Auth

  • Platform: PLATFORM_WAKATIME_KEY. BYO: ?_apiKey=… (use your own API key — WakaTime data is per-user).

Tools

  • current_user() — authenticated user profile
  • user(user_id) — public profile (use current for self)
  • summaries(user_id, start, end, project?, branches?, timeout?, writes_only?, timezone?) — daily summaries
  • stats(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 date
  • heartbeats(user_id, date) — raw heartbeats for a date (full visibility into edits)
  • goals(user_id, page?) — user's goals
  • projects(user_id, q?) — user's projects
  • leaders(language?, country_code?, page?) — public leaderboard
  • commits(user_id, project, author?, branch?, page?) — recent commits (if project linked to git)
  • editors() — public editor stats
  • meta() — 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 1684+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

No MCP client? Call it over HTTP

curl -X POST https://gateway.pipeworx.io/v1/tools/wakatime_current_user \
  -H 'Content-Type: application/json' \
  -d '{}'

No account needed for the first calls. Inspect any tool: GET https://gateway.pipeworx.io/v1/tools/wakatime_current_user. Find one: POST https://gateway.pipeworx.io/v1/tools/search_packs with {"query":"..."}.

Standalone (no gateway account)

This package also runs as a local stdio MCP server — no Pipeworx account, no gateway round-trip:

{
  "mcpServers": {
    "wakatime": {
      "command": "npx",
      "args": ["-y", "@pipeworx/mcp-wakatime"]
    }
  }
}

Or run it directly to confirm it starts:

npx -y @pipeworx/mcp-wakatime

It speaks MCP over stdin/stdout and answers initialize/tools/list/tools/call for only this pack's tools — none of the shared meta-tools the gateway connection above adds. Same source, same tools, no ask_pipeworx routing.

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

Comments

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