WakaTime (Coding Stats) MCP Server for CrewAIGive CrewAI 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

Connect your CrewAI agents to WakaTime (Coding Stats) through Vinkius, pass the Edge URL in the `mcps` parameter and every WakaTime (Coding Stats) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="WakaTime (Coding Stats) Specialist",
    goal="Help users interact with WakaTime (Coding Stats) effectively",
    backstory=(
        "You are an expert at leveraging WakaTime (Coding Stats) tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in WakaTime (Coding Stats) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 14 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, WakaTime (Coding Stats) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call WakaTime (Coding Stats) tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI

When CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 14 tools from WakaTime (Coding Stats)

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

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with WakaTime (Coding Stats) through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

WakaTime (Coding Stats) + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries WakaTime (Coding Stats) for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries WakaTime (Coding Stats), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain WakaTime (Coding Stats) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries WakaTime (Coding Stats) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for WakaTime (Coding Stats) in CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

WakaTime (Coding Stats) + CrewAI FAQ

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

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.