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Vinkius
LangChainFramework
Wakapi (WakaTime Alternative) MCP Server

Bring Coding Stats
to LangChain

Learn how to connect Wakapi (WakaTime Alternative) to LangChain and start using 4 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Get StatsGet SummariesList ProjectsSend Heartbeats

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Wakapi (WakaTime Alternative)

What is the Wakapi (WakaTime Alternative) MCP Server?

Connect your Wakapi instance to any AI agent to monitor your development workflow through natural conversation. Wakapi is a self-hosted, open-source alternative to WakaTime that tracks your coding activity across different editors and languages.

What you can do

  • Coding Statistics — Retrieve detailed stats including languages, editors, and operating systems used over various time ranges using get_stats.
  • Activity Summaries — Fetch granular summaries of your work for specific date ranges or individual projects with get_summaries.
  • Project Listing — View all projects you have tracked time for using list_projects to keep your portfolio or billable hours organized.
  • Heartbeat Tracking — Manually send coding activity heartbeats via send_heartbeats to ensure your timeline is always accurate.

How it works

  1. Subscribe to this server
  2. Enter your Wakapi API URL and API Key
  3. Start analyzing your coding habits from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Individual Developers — track your own productivity and see which languages you spend the most time on.
  • Engineering Managers — get high-level summaries of team activity and project distribution.
  • Freelancers — accurately report time spent on specific client projects without manual timers.

Built-in capabilities (4)

get_stats

Retrieve coding statistics for a user

get_summaries

Retrieve a detailed summary of activity

list_projects

List all projects tracked by the user

send_heartbeats

Provide a heartbeat object or an array of heartbeat objects. Send coding activity heartbeats to Wakapi

Why LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with Wakapi (WakaTime Alternative) through native MCP adapters. Connect 4 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.

  • The largest ecosystem of integrations, chains, and agents. combine Wakapi (WakaTime Alternative) 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 Wakapi (WakaTime Alternative) queries for multi-turn workflows

See it in action

Wakapi (WakaTime Alternative) in LangChain

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Wakapi (WakaTime Alternative) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Wakapi (WakaTime Alternative) to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Wakapi (WakaTime Alternative) in LangChain

The Wakapi (WakaTime Alternative) 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. All 4 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Wakapi (WakaTime Alternative)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
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

The Vinkius Advantage

How Vinkius secures Wakapi (WakaTime Alternative) for LangChain

Every tool call from LangChain to the Wakapi (WakaTime Alternative) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

How can I see my coding statistics for the last 7 days?

You can use the get_stats tool and specify 'last_7_days' as the range. The agent will return a breakdown of your languages, editors, and projects for that period.

02

Can I get a list of all projects I have ever tracked in Wakapi?

Yes! Use the list_projects tool. It will retrieve all project names associated with your account, allowing you to see the scope of your tracked work.

03

Is it possible to track activity for a specific date range?

Absolutely. Use the get_summaries tool by providing a 'start' and 'end' date in YYYY-MM-DD format. You can even filter this by a specific project name.

04

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.

05

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.

06

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

07

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

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