How to Use the WakaTime (Coding Stats) MCP in LangChain

Q: Does WakaTime (Coding Stats) support time tracking with LangChain?

Absolutely. You can use tools like createheartbeat or listexternaldurations to log raw activity pings or times spent in other apps, feeding that data directly into your running chain.

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Connect WakaTime (Coding Stats) MCP to LangChain

Create your Vinkius account to connect WakaTime (Coding Stats) to LangChain 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 WakaTime (Coding Stats) with LangChain

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ChatGPT

Claude

Perplexity

Track Coding Progress via the MCP Server

Need to know how long you spent on a specific project? You can call `list_commits` to get a list of commits and the time logged for each. This lets your agent decide which projects need attention, making the workflow highly actionable.

Gathering Activity Metrics with LangChain

A core part of any development pipeline is knowing where time goes. Use `get_stats` to fetch summarized coding statistics across a given date range. Your agent can then use this data—maybe comparing it against goals retrieved via `get_goal`—to make recommendations.

Handling External Time Logs

Sometimes the code isn't in your IDE; maybe you were prepping docs or running tests outside of a tracked session. The `create_external_duration` tool lets you log that activity, making sure all time counts toward your overall picture.

Setup guide

Set up WakaTime (Coding Stats) MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes WakaTime (Coding Stats) tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "wakatime-coding-stats-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent WakaTime (Coding Stats) transactions"
    })
    print(result["messages"][-1].content)

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Common questions about WakaTime (Coding Stats) MCP in LangChain

LangChain can call the MCP Server tools sequentially. For instance, it might first use `list_goals` to see what you’re aiming for, then check `get_stats` to see if you hit that mark, and finally output a report.

Yes. The framework lets your agent monitor projects by calling tools like `list_projects` or tracking specific time blocks using the `get_all_time_since_today`. This makes the stats instantly available for decision-making.

You should pass the tool outputs directly into a subsequent step in your chain. For example, getting `list_durations` and then using that data chunk as input for a summarization prompt.

Absolutely. You can use tools like `create_heartbeat` or `list_external_durations` to log raw activity pings or times spent in other apps, feeding that data directly into your running chain.

This server deals with coding activity metrics. Specifically, it handles time duration logs, project names, goal definitions, and commit records.

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