Compatible with every major AI agent and IDE
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- Personal Dashboard — Access your own published and unpublished articles to manage your portfolio and track your contributions.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Get both published and unpublished articles for the authenticated user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Get unpublished articles (drafts) for the authenticated user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 Pydantic AI?
Pydantic AI validates every DEV.to tool response against typed schemas, catching data inconsistencies at build time. Connect 38 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
- —
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your DEV.to integration code
- —
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
- —
Dependency injection system cleanly separates your DEV.to connection logic from agent behavior for testable, maintainable code
DEV.to in Pydantic AI
DEV.to and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect DEV.to to Pydantic AI 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 Pydantic AI
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 Pydantic AI 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 Pydantic AI
Every tool call from Pydantic AI 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 Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your DEV.to MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
Explore More MCP Servers
View all →
ElevenLabs
12 toolsGenerate lifelike speech from text with neural voice synthesis that clones voices and supports dozens of languages naturally.

Circle.so
8 toolsManage online communities via Circle — track members, monitor posts, and manage spaces directly from any AI agent.

Glassnode (On-chain Data)
6 toolsAccess institutional-grade on-chain market data for Bitcoin, Ethereum, and 1000+ assets directly from your AI agent.

Todoist
7 toolsManage tasks, organize projects, and streamline your personal or team workflows natively with your AI agent.
