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Vinkius
CrewAIFramework
Dev.to (Forem) MCP Server

Bring Blogging
to CrewAI

Learn how to connect Dev.to (Forem) to CrewAI and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Create ArticleGet Article By IdGet Article By PathGet MeGet UserList ArticlesList My ArticlesList Org ArticlesList Org UsersList VideosUnpublish ArticleUpdate Article

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Dev.to (Forem)

What is the 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.

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).

How it works

  1. Subscribe to this server
  2. Enter your Dev.to/Forem API Key
  3. Start managing your blog posts and community interactions from Claude, Cursor, or any MCP client

Who is this for?

  • Technical Writers — draft and update articles without leaving your markdown editor or IDE.
  • Community Managers — monitor organization posts and user profiles efficiently.
  • Developers — automate the distribution of technical content and query community data via API.

Built-in capabilities (12)

create_article

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

get_article_by_id

Get a single article by ID

get_article_by_path

Get a single article by username and slug

get_me

Get authenticated user details

get_user

Get a user by ID or username

list_articles

List published articles

list_my_articles

Requires API key. List authenticated user's articles

list_org_articles

List organization's articles

list_org_users

List organization's users

list_videos

List articles with videos

unpublish_article

Unpublishes a specific article. Unpublish an article

update_article

Requires API key. Update an existing article

Why CrewAI?

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.

  • 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

  • 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

  • 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

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

See it in action

Dev.to (Forem) in CrewAI

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Dev.to (Forem) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Dev.to (Forem) to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Dev.to (Forem) in CrewAI

The Dev.to (Forem) 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

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

The Vinkius Advantage

How Vinkius secures Dev.to (Forem) for CrewAI

Every tool call from CrewAI to the Dev.to (Forem) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I publish a new post directly from the chat?

Yes! Use the create_article tool by providing a title and the markdown content. You can also set the published status to true or false for drafts.

02

How do I see my own drafts and published posts?

You can use the list_my_articles tool. It allows you to filter by type, such as 'all', 'published', or 'unpublished' (drafts).

03

Can I look up another user's profile information?

Yes, use the get_user tool with either their unique User ID or their username to retrieve their public profile details.

04

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.

05

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.

06

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.

07

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.

08

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.

09

MCP tools not discovered

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

10

Agent not using tools

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

11

Timeout errors

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

12

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.

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