DEV.to MCP Server for LangChainGive LangChain instant access to 38 tools to Create Article, Create Listing, Create Page, and more
LangChain is the leading Python framework for composable LLM applications. Connect DEV.to through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this MCP Server for LangChain
The DEV.to MCP Server for LangChain is a standout in the Developer Tools category — giving your AI agent 38 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"devto": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using DEV.to, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 MCP Server
Connect your DEV.to account to any AI agent to streamline your technical writing and community engagement through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with DEV.to through native MCP adapters. Connect 38 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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- Personal Dashboard — Access your own published and unpublished articles to manage your portfolio and track your contributions.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.
The DEV.to MCP Server exposes 38 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 38 DEV.to tools available for LangChain
When LangChain connects to DEV.to through Vinkius, your AI agent gets direct access to every tool listed below — spanning blogging, technical-writing, community, 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 article on DEV.to
Requires authentication. Publish a new article on DEV.to
Create listing on DEV.to
Create a new listing
Create page on DEV.to
Create a custom page (Admin only)
Create reaction on DEV.to
Create a reaction to an article or comment
Delete page on DEV.to
Delete a custom page (Admin only)
Get article by id on DEV.to
Get an article by ID
Get article by path on DEV.to
Get an article by username and slug
Get articles on DEV.to
Get published articles
Get comment by id on DEV.to
Get a comment by ID
Get comments on DEV.to
Get comments for an article or podcast episode
Get followed tags on DEV.to
Get tags followed by the authenticated user
Get latest articles on DEV.to
Get latest articles
Get listing on DEV.to
Get listing details by ID
Get listings on DEV.to
List published listings (classifieds/ads)
Get listings by category on DEV.to
Get listings filtered by category
Get me on DEV.to
Get authenticated user details
Get my all articles on DEV.to
Get both published and unpublished articles for the authenticated user
Get my articles on DEV.to
Get all articles for the authenticated user
Get my published articles on DEV.to
Get published articles for the authenticated user
Get my unpublished articles on DEV.to
Get unpublished articles (drafts) for the authenticated user
Get organization on DEV.to
Get organization details by username
Get organization articles on DEV.to
Get articles published by an organization
Get organization users on DEV.to
Get users belonging to an organization
Get page on DEV.to
Get details of a custom page (Admin only)
Get pages on DEV.to
List all custom pages (Admin only)
Get podcast episodes on DEV.to
Get podcast episodes
Get profile image on DEV.to
Get profile image URL for a user or organization
Get reading list on DEV.to
Get the reading list for the authenticated user
Get tags on DEV.to
Get a list of tags used on the platform
Get user on DEV.to
Get a user by ID or username
Get videos on DEV.to
Get articles that include a video
Suspend user on DEV.to
Suspend a user (Admin only)
Toggle reaction on DEV.to
Toggle a reaction to an article or comment
Unpublish article on DEV.to
Unpublish an article (Admin/Moderator only)
Unpublish user on DEV.to
Unpublish all articles and comments for a user (Admin only)
Update article on DEV.to
Update an existing article
Update listing on DEV.to
Update an existing listing
Update page on DEV.to
Update a custom page (Admin only)
Connect DEV.to to LangChain via MCP
Follow these steps to wire DEV.to into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the DEV.to MCP Server
LangChain provides unique advantages when paired with DEV.to through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine DEV.to MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across DEV.to queries for multi-turn workflows
DEV.to + LangChain Use Cases
Practical scenarios where LangChain combined with the DEV.to MCP Server delivers measurable value.
RAG with live data: combine DEV.to tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query DEV.to, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain DEV.to tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every DEV.to tool call, measure latency, and optimize your agent's performance
Example Prompts for DEV.to in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with DEV.to immediately.
"List the latest articles on DEV.to about 'typescript' and 'mcp'."
"Create a new draft article titled 'My First MCP Guide' with a short introduction."
"Show me all my published articles so I can check their status."
Troubleshooting DEV.to MCP Server with LangChain
Common issues when connecting DEV.to to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersDEV.to + LangChain FAQ
Common questions about integrating DEV.to MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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