Compatible with every major AI agent and IDE
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your WakaTime API Key
- Start querying your coding data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Developers — track your own productivity and see which projects consume most of your time.
- Team Leads — monitor high-level project activity and goal progress without manual reporting.
- Data Enthusiasts — analyze coding patterns and heartbeats to optimize your workflow.
Built-in capabilities (14)
Create activity from an external app
Create a raw coding activity ping
Get total time logged since account creation
Get a specific user-defined coding goal
Get summarized coding statistics for a given range
List of commits for a project with time spent on each
Get rules to modify or delete coding activity based on patterns
Get coding activity joined into blocks based on keystroke timeout
g., Google Calendar). Get activity created from external apps
List user-defined coding goals and their progress
Get raw coding activity pings from IDE plugins
List of projects detected for the user
Get daily totals of coding activity
Update rules to modify or delete coding activity
Why Vercel AI SDK?
The Vercel AI SDK gives every WakaTime (Coding Stats) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 14 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
- —
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
- —
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same WakaTime (Coding Stats) integration everywhere
- —
Built-in streaming UI primitives let you display WakaTime (Coding Stats) tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
WakaTime (Coding Stats) in Vercel AI SDK
WakaTime (Coding Stats) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect WakaTime (Coding Stats) to Vercel AI 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 WakaTime (Coding Stats) in Vercel AI SDK
The WakaTime (Coding Stats) 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 14 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI 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
WakaTime (Coding Stats) for Vercel AI SDK
Every tool call from Vercel AI SDK to the WakaTime (Coding Stats) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I get a summary of my coding activity for the last week?
Yes! Use the get_stats tool with the range 'last_7_days'. Your agent will return aggregated data including total time, languages used, and project breakdown.
How do I check my progress on my coding goals?
Run the list_goals tool to see all your active goals and their current completion percentage. You can also use get_goal with a specific ID for deeper details.
Can I see which projects I've been working on?
Yes, the list_projects tool will return a list of all projects detected by your WakaTime plugins. You can then use list_summaries to see time spent on them.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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