How to Use the WakaTime (Coding Stats) MCP in CrewAI

Q: Can CrewAI handle external timing with WakaTime (Coding Stats)?

Yes. You can define an action agent to use createexternalduration. This lets your multi-agent crew track time spent in non-IDE tools, like Google Calendar.

Q: What stats does WakaTime (Coding Stats) provide with CrewAI?

The crew can run a manager agent using getstats to get summarized coding statistics across various date ranges. This provides the data needed for executive summaries.

Q: If I need project history, does WakaTime (Coding Stats) support it with CrewAI?

Absolutely. A dedicated agent can run listcommits to get commit details and associated time spent. The crew then aggregates this data across multiple projects for a full picture.

Run autonomous operations to analyze WakaTime (Coding Stats) using CrewAI.

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Setup WakaTime (Coding Stats) with CrewAI

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Autonomous Goal Monitoring

A specialized agent can use `list_goals` to check user-defined targets and their progress. This allows the crew to monitor developer performance automatically. A dedicated monitoring agent watches the session, triggering a report whenever the coding goals change or reach milestones.

Project Listing for Agents

The `list_projects` tool provides all detected projects. You can pass this list to an action agent so it knows what scope of data to analyze. A specialized agent uses this information to narrow down the search, ensuring that analysis is focused only on relevant codebases.

Listing Activity Timelines

To see specific focus blocks, one agent can use `list_durations` to get activity joined by keystroke timeout. This gives a clear timeline of deep work. A separate action agent takes this raw data and structures it into clean markdown reports for the user.

Setup guide

Set up WakaTime (Coding Stats) MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke WakaTime (Coding Stats) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="WakaTime (Coding Stats) Analyst",
    goal="Access and analyze WakaTime (Coding Stats) data via MCP.",
    backstory="Expert analyst with direct WakaTime (Coding Stats) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent WakaTime (Coding Stats) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="WakaTime (Coding Stats) Analyst",
        goal="Access and analyze WakaTime (Coding Stats) data via MCP.",
        backstory="Expert analyst with direct WakaTime (Coding Stats) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent WakaTime (Coding Stats) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by WakaTime. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about WakaTime (Coding Stats) MCP in CrewAI

You assign specialized agents to use the WakaTime tools. One agent researches project data using `list_commits`, while another analyzes that output, creating a comprehensive report.

Yes. You can define an action agent to use `create_external_duration`. This lets your multi-agent crew track time spent in non-IDE tools, like Google Calendar.

The crew can run a manager agent using `get_stats` to get summarized coding statistics across various date ranges. This provides the data needed for executive summaries.

Absolutely. A dedicated agent can run `list_commits` to get commit details and associated time spent. The crew then aggregates this data across multiple projects for a full picture.

The server deals with coding activity metrics, including project names and time spent. This data is processed by the specialized agents within the crew's memory.

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