WakaTime (Coding Stats) MCP Server for LangChainGive LangChain instant access to 14 tools to Create External Duration, Create Heartbeat, Get All Time Since Today, and more

Name: WakaTime (Coding Stats)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect WakaTime (Coding Stats) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

Open in ChatGPT Open in Claude Open in Perplexity

The WakaTime (Coding Stats) MCP Server for LangChain is a standout in the Productivity category — giving your AI agent 14 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

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VS Code

JetBrains

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+ other MCP clients

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "wakatime-coding-stats": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using WakaTime (Coding Stats), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

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V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About WakaTime (Coding Stats) MCP Server

Connect your WakaTime account to any AI agent to analyze your coding habits, track project progress, and monitor productivity goals through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with WakaTime (Coding Stats) through native MCP adapters. Connect 14 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Coding Statistics — Get summarized stats for specific ranges (7 days, 30 days, etc.) or your all-time total coding time.
Project Tracking — List all projects detected by your IDE plugins and see daily summaries of activity per project.
Goal Monitoring — Check your progress on custom coding goals and retrieve specific details for individual targets.
Activity Analysis — Inspect raw heartbeats and duration blocks to understand exactly when and how you are working.

The WakaTime (Coding Stats) MCP Server exposes 14 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 14 WakaTime (Coding Stats) tools available for LangChain

When LangChain connects to WakaTime (Coding Stats) through Vinkius, your AI agent gets direct access to every tool listed below — spanning coding-stats, time-tracking, developer-productivity, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create external duration on WakaTime (Coding Stats)

Create activity from an external app

create

Create heartbeat on WakaTime (Coding Stats)

Create a raw coding activity ping

get

Get all time since today on WakaTime (Coding Stats)

Get total time logged since account creation

get

Get goal on WakaTime (Coding Stats)

Get a specific user-defined coding goal

get

Get stats on WakaTime (Coding Stats)

Get summarized coding statistics for a given range

list

List commits on WakaTime (Coding Stats)

List of commits for a project with time spent on each

list

List custom rules on WakaTime (Coding Stats)

Get rules to modify or delete coding activity based on patterns

list

List durations on WakaTime (Coding Stats)

Get coding activity joined into blocks based on keystroke timeout

list

List external durations on WakaTime (Coding Stats)

g., Google Calendar). Get activity created from external apps

list

List goals on WakaTime (Coding Stats)

List user-defined coding goals and their progress

list

List heartbeats on WakaTime (Coding Stats)

Get raw coding activity pings from IDE plugins

list

List projects on WakaTime (Coding Stats)

List of projects detected for the user

list

List summaries on WakaTime (Coding Stats)

Get daily totals of coding activity

update

Update custom rules on WakaTime (Coding Stats)

Update rules to modify or delete coding activity

Connect WakaTime (Coding Stats) to LangChain via MCP

Follow these steps to wire WakaTime (Coding Stats) into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 14 tools from WakaTime (Coding Stats) via MCP

Why Use LangChain with the WakaTime (Coding Stats) MCP Server

LangChain provides unique advantages when paired with WakaTime (Coding Stats) through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine WakaTime (Coding Stats) MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across WakaTime (Coding Stats) queries for multi-turn workflows

WakaTime (Coding Stats) + LangChain Use Cases

Practical scenarios where LangChain combined with the WakaTime (Coding Stats) MCP Server delivers measurable value.

RAG with live data: combine WakaTime (Coding Stats) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query WakaTime (Coding Stats), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain WakaTime (Coding Stats) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every WakaTime (Coding Stats) tool call, measure latency, and optimize your agent's performance

Example Prompts for WakaTime (Coding Stats) in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with WakaTime (Coding Stats) immediately.

"Show me my coding stats for the last 7 days."

"What are my current coding goals and how am I doing?"

"Give me a summary of my coding activity for yesterday."

Troubleshooting WakaTime (Coding Stats) MCP Server with LangChain

Common issues when connecting WakaTime (Coding Stats) to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

WakaTime (Coding Stats) + LangChain FAQ

Common questions about integrating WakaTime (Coding Stats) MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.