Bring Coding Stats
to OpenAI Agents SDK
Learn how to connect Wakapi (WakaTime Alternative) to OpenAI Agents SDK and start using 4 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
Compatible with every major AI agent and IDE
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_projectsto keep your portfolio or billable hours organized. - Heartbeat Tracking — Manually send coding activity heartbeats via
send_heartbeatsto ensure your timeline is always accurate.
How it works
- Subscribe to this server
- Enter your Wakapi API URL and API Key
- 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)
Retrieve coding statistics for a user
Retrieve a detailed summary of activity
List all projects tracked by the user
Provide a heartbeat object or an array of heartbeat objects. Send coding activity heartbeats to Wakapi
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 4 tools from Wakapi (WakaTime Alternative) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Wakapi (WakaTime Alternative), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
- —
Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
- —
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
- —
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Wakapi (WakaTime Alternative) in OpenAI Agents SDK
Wakapi (WakaTime Alternative) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Wakapi (WakaTime Alternative) to OpenAI Agents SDK 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.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Wakapi (WakaTime Alternative) in OpenAI Agents SDK
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 OpenAI Agents SDK 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.

* 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
How Vinkius secures
Wakapi (WakaTime Alternative) for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Wakapi (WakaTime Alternative) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
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.
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.
How does the OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
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