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Dev.to (Forem) MCP Server for CrewAIGive CrewAI instant access to 12 tools to Create Article, Get Article By Id, Get Article By Path, and more

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

Ask AI about this MCP Server for CrewAI

The Dev.to (Forem) MCP Server for CrewAI is a standout in the Developer Tools category — giving your AI agent 12 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python
from crewai import Agent, Task, Crew

agent = Agent(
    role="Dev.to (Forem) Specialist",
    goal="Help users interact with Dev.to (Forem) effectively",
    backstory=(
        "You are an expert at leveraging Dev.to (Forem) 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 Dev.to (Forem) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
Dev.to (Forem)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Dev.to (Forem) MCP Server

Connect your Dev.to or Forem account to any AI agent and manage your technical writing and community presence through natural conversation.

When paired with CrewAI, Dev.to (Forem) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Dev.to (Forem) 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

  • Article Management — List published articles, search by tags, and fetch specific posts by ID or path.
  • Content Creation — Create new articles or update existing ones with full markdown support directly from your chat.
  • Personal Dashboard — Access your own articles (published or drafts) and retrieve your authenticated user profile using list_my_articles and get_me.
  • Community Insights — Look up other users with get_user, explore organization-specific content, and list organization members.
  • Moderation Tools — Unpublish articles when necessary using unpublish_article (requires appropriate permissions).

The Dev.to (Forem) MCP Server exposes 12 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 12 Dev.to (Forem) tools available for CrewAI

When CrewAI connects to Dev.to (Forem) through Vinkius, your AI agent gets direct access to every tool listed below — spanning blogging, forem, dev-to, 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 article on Dev.to (Forem)

to/Forem. Requires API key. Create a new article

get

Get article by id on Dev.to (Forem)

Get a single article by ID

get

Get article by path on Dev.to (Forem)

Get a single article by username and slug

get

Get me on Dev.to (Forem)

Get authenticated user details

get

Get user on Dev.to (Forem)

Get a user by ID or username

list

List articles on Dev.to (Forem)

List published articles

list

List my articles on Dev.to (Forem)

Requires API key. List authenticated user's articles

list

List org articles on Dev.to (Forem)

List organization's articles

list

List org users on Dev.to (Forem)

List organization's users

list

List videos on Dev.to (Forem)

List articles with videos

unpublish

Unpublish article on Dev.to (Forem)

Unpublishes a specific article. Unpublish an article

update

Update article on Dev.to (Forem)

Requires API key. Update an existing article

Connect Dev.to (Forem) to CrewAI via MCP

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

01

Install CrewAI

Run pip install crewai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Customize the agent

Adjust the role, goal, and backstory to fit your use case
04

Run the crew

Run python crew.py. CrewAI auto-discovers 12 tools from Dev.to (Forem)

Why Use CrewAI with the Dev.to (Forem) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Dev.to (Forem) through the Model Context Protocol.

01

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

02

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

03

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

04

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

Dev.to (Forem) + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Dev.to (Forem) MCP Server delivers measurable value.

01

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

02

Scheduled intelligence reports: set up a crew that periodically queries Dev.to (Forem), analyzes trends over time, and generates executive briefings in markdown or PDF format

03

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

04

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

Example Prompts for Dev.to (Forem) in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Dev.to (Forem) immediately.

01

"List the top 5 articles about 'javascript' on Dev.to."

02

"Create a new draft article titled 'My MCP Guide' with the content 'This is a test'."

03

"Show me my account details and API status."

Troubleshooting Dev.to (Forem) MCP Server with CrewAI

Common issues when connecting Dev.to (Forem) to CrewAI through Vinkius, and how to resolve them.

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

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.

Dev.to (Forem) + CrewAI FAQ

Common questions about integrating Dev.to (Forem) MCP Server with CrewAI.

01

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.
02

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.
03

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.
04

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.
05

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.

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