How to Use the DevSkiller MCP in CrewAI

Q: How do I configure a CrewAI agent to use the DevSkiller MCP Server?

You pass the server URL directly to the agent's mcps parameter during initialization. This automatically registers tools like listavailabletests and makes them available to that specific agent.

Q: Can different CrewAI agents use different DevSkiller MCP tools?

Yes, you can use MCPServerHTTP with a toolfilter to restrict tool access. For example, you can give your analyst agent access to getcandidateassessmentreport while restricting other agents.

Q: How do I handle DevSkiller account limits inside CrewAI?

Your coordinator agent can run getaccountmetadata to check your current limits before sending new invites. This prevents the crew from attempting to send invitations when your account is out of credits.

Deploy a collaborative crew of specialized AI agents to manage your DevSkiller candidate pipeline with CrewAI.

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Connect DevSkiller MCP to CrewAI

Create your Vinkius account to connect DevSkiller to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup DevSkiller with CrewAI

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Collaborative Candidate Screening in CrewAI

This DevSkiller MCP Server allows your CrewAI team to divide and conquer technical recruiting tasks. A researcher agent uses `search_candidates_by_identity` to find applicants, while a coordinator agent handles the test logistics. Once found, the coordinator agent triggers `invite_candidate_to_test` to send the selected assessment. This division of labor keeps your recruiting pipeline moving without any manual coordination.

Multi-Agent Test Performance Analysis

Your CrewAI analyst agent uses the MCP Server to query `list_high_score_candidates` and filter out the top developers from recent test runs. It then passes these candidate IDs to a reviewer agent for deeper analysis. The reviewer agent calls `get_candidate_assessment_report` to dissect the candidate's coding performance. The agents collaborate to write a summary report for the hiring manager, highlighting specific strengths and weaknesses.

Automated Pipeline Auditing and Monitoring

An auditor agent uses `list_recently_sent_invitations` to track invitations sent in the last 24 hours. It cross-references this list with pending tasks to ensure no candidate gets stuck in the pipeline. If the auditor agent finds a mismatch, it instructs a notifier agent to pull the profile using `get_candidate_profile`. This automated check keeps your team updated on candidate progress without manual search effort.

Setup guide

Set up DevSkiller 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 DevSkiller tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent DevSkiller 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 →

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="DevSkiller Analyst",
        goal="Access and analyze DevSkiller data via MCP.",
        backstory="Expert analyst with direct DevSkiller access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent DevSkiller 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 DevSkiller. 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 DevSkiller MCP in CrewAI

You pass the server URL directly to the agent's `mcps` parameter during initialization. This automatically registers tools like `list_available_tests` and makes them available to that specific agent.

Yes, you can use `MCPServerHTTP` with a `tool_filter` to restrict tool access. For example, you can give your analyst agent access to `get_candidate_assessment_report` while restricting other agents.

Agents share candidate data through CrewAI's built-in memory system. When one agent finds a candidate using `search_candidates_by_identity`, the next agent can use that ID to trigger `get_candidate_profile`.

Your coordinator agent can run `get_account_metadata` to check your current limits before sending new invites. This prevents the crew from attempting to send invitations when your account is out of credits.

All candidate test scores are retrieved directly via encrypted HTTPS connections and processed in memory. Vinkius runs the MCP Server in a zero-trust, ephemeral sandbox environment, ensuring no candidate data is ever stored permanently.

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