How to Use the Dev.to (Forem Developer Community API) MCP in CrewAI

Q: How do I set up Dev.to (Forem Developer Community API) with CrewAI agents?

You pass the server URL to your agent's mcps list. It gives your CrewAI agent immediate access to all 36 tools for managing your articles and comments.

Q: Can CrewAI agents collaborate on Dev.to (Forem Developer Community API) tasks?

Absolutely. You assign listmyarticles to one agent and updatearticle to another. They work together in a sequence to maintain your content library.

Q: How does CrewAI handle Dev.to (Forem Developer Community API) tool filtering?

You use the toolfilter parameter to restrict what each agent can do. It prevents your research agent from accidentally calling deletepage.

Deploy a specialized crew of agents with CrewAI to manage your Dev.to presence and community engagement autonomously.

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Connect Dev.to (Forem Developer Community API) MCP to CrewAI

Create your Vinkius account to connect Dev.to (Forem Developer Community API) 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 (Forem Developer Community API) with CrewAI

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Role-Based Content Operations in CrewAI

Assign a Research Agent to find tags using `list_tags` and a Writing Agent to generate posts using `create_article`. They share the memory to ensure your content matches community trends. Your CrewAI setup handles the hand-off between agents. One agent gathers data from `list_my_published_articles`, and the next one summarizes the impact for your reports.

Autonomous Moderation with CrewAI

Set up a Moderator Agent to watch incoming traffic using `list_comments`. It can flag or react to posts based on the criteria you define in the agent's instructions. If the agent detects spam, it can use `suspend_user` if you grant it the authority. It keeps your community clean while you work on other tasks.

Automated Engagement Loops in CrewAI

Run a crew that tracks your followers via `list_followers` and engages them with `toggle_reaction`. It builds an automated loop that keeps your profile active. You can chain `list_reading_list` to your agents so they stay informed about the latest technical discussions. This ensures your agents always have the right context for their actions.

Setup guide

Set up Dev.to (Forem Developer Community API) 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 (Forem Developer Community API) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Dev.to (Forem Developer Community API) 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 →

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Common questions about Dev.to (Forem Developer Community API) MCP in CrewAI

You pass the server URL to your agent's `mcps` list. It gives your CrewAI agent immediate access to all 36 tools for managing your articles and comments.

Absolutely. You assign `list_my_articles` to one agent and `update_article` to another. They work together in a sequence to maintain your content library.

You use the tool_filter parameter to restrict what each agent can do. It prevents your research agent from accidentally calling `delete_page`.

You can. Your agents can research, draft, edit, and publish posts, then monitor comments for feedback, all without you touching the keyboard.

The server only reads the article text, comment bodies, and follower lists you authorize. No sensitive user metadata is stored beyond what is required for the tool execution.

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