Bring Blogging
to CrewAI
Learn how to connect DEV.to to CrewAI and start using 38 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the DEV.to MCP Server?
Connect your DEV.to account to any AI agent to streamline your technical writing and community engagement through natural conversation.
What you can do
- Article Publishing — Create and publish new articles or save them as drafts directly from your conversation using Markdown.
- Content Discovery — Fetch the latest articles, search by specific tags, or retrieve detailed posts by ID or author path.
- Personal Dashboard — Access your own published and unpublished articles to manage your portfolio and track your contributions.
- Updates & Moderation — Update existing content, modify tags, or unpublish articles when necessary.
- Community Insights — Query rising or fresh content across the platform to stay updated with tech trends.
How it works
- Subscribe to this server
- Enter your DEV.to API Key
- Start managing your technical blog from Claude, Cursor, or any MCP-compatible client
No more switching between your editor and the browser to share your knowledge. Your AI acts as a technical editor and publishing assistant.
Who is this for?
- Technical Writers — draft and publish articles directly from the environment where you write your code and notes.
- Developers — share snippets and tutorials on the fly without breaking your development flow.
- DevRel & Community Managers — monitor latest posts and manage organizational content efficiently.
Built-in capabilities (38)
Requires authentication. Publish a new article on DEV.to
Create a new listing
Create a custom page (Admin only)
Create a reaction to an article or comment
Delete a custom page (Admin only)
Get an article by ID
Get an article by username and slug
Get published articles
Get a comment by ID
Get comments for an article or podcast episode
Get tags followed by the authenticated user
Get latest articles
Get listing details by ID
List published listings (classifieds/ads)
Get listings filtered by category
Get authenticated user details
Get both published and unpublished articles for the authenticated user
Get all articles for the authenticated user
Get published articles for the authenticated user
Get unpublished articles (drafts) for the authenticated user
Get organization details by username
Get articles published by an organization
Get users belonging to an organization
Get details of a custom page (Admin only)
List all custom pages (Admin only)
Get podcast episodes
Get profile image URL for a user or organization
Get the reading list for the authenticated user
Get a list of tags used on the platform
Get a user by ID or username
Get articles that include a video
Suspend a user (Admin only)
Toggle a reaction to an article or comment
Unpublish an article (Admin/Moderator only)
Unpublish all articles and comments for a user (Admin only)
Update an existing article
Update an existing listing
Update a custom page (Admin only)
Why CrewAI?
When paired with CrewAI, DEV.to becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call DEV.to 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
mcpsparameter 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
DEV.to in CrewAI
DEV.to and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect DEV.to 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.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for DEV.to in CrewAI
The DEV.to 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 38 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.
* 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
How Vinkius secures
DEV.to for CrewAI
Every tool call from CrewAI to the DEV.to MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I create a draft without publishing it immediately?
Yes! When using the create_article tool, simply set the published parameter to false. The article will be saved as a draft in your account.
How do I find my own articles that I haven't published yet?
You can use the get_my_unpublished_articles tool. It will return a list of all your drafts currently stored on DEV.to.
Is it possible to update the tags or content of an existing post?
Absolutely. Use the update_article tool with the specific article id. You can modify the title, body, tags, and other metadata fields.
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.
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.
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.
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.
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.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
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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