How to Use the DEV.to MCP in CrewAI

Q: Can CrewAI agents read my DEV.to analytics?

They can use getmypublishedarticles to see your stats. You can task an agent to summarize your reach.

Deploy a CrewAI team to manage your DEV.to presence. Agents collaborate to research, write, and verify your content.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect DEV.to MCP to CrewAI

Create your Vinkius account to connect DEV.to 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 DEV.to with CrewAI

Ask AI about this MCP

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Claude

Perplexity

Collaborative Article Research

Assign a researcher agent to use `get_latest_articles` for gathering trends. The team shares this context to draft new content. One agent finds the data while another writes the draft. They work together to build your post.

Automated Moderation Crew

Set a monitor agent to use `get_comments` on your posts. If it flags spam, a moderator agent uses `toggle_reaction` or reports it. This keeps your comments section clean. You define the behavior and the crew handles the enforcement.

Cross-Platform Sync

Use agents to fetch tags with `get_tags` and compare them against your drafts. The crew ensures your posts align with current topics. It automates the tagging strategy. Your content stays relevant to what readers want to see.

Setup guide

Set up DEV.to 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 DEV.to tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent DEV.to 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="DEV.to Analyst",
        goal="Access and analyze DEV.to data via MCP.",
        backstory="Expert analyst with direct DEV.to access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent DEV.to 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 DEV.to. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about DEV.to MCP in CrewAI

Pass the server URL to your agent definition. The agents automatically gain access to the tools like `create_article`.

They can use `get_my_published_articles` to see your stats. You can task an agent to summarize your reach.

The MCP server enforces the permissions. You only pass the tools the agents need to do their specific jobs.

Yes, use a sequential process. The researcher agent gathers info, then passes it to the writer agent for the publish call.

The server isolates all requests. Your account credentials never leave the secure connection between the agent and the server.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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