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

Name: Dev.to (Forem)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Dev.to (Forem) 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

Open in ChatGPT Open in Claude Open in Perplexity

The Dev.to (Forem) MCP Server for LangChain 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

Claude

ChatGPT

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Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

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-forem": {
            "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 (Forem), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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.

LangChain's ecosystem of 500+ components combines seamlessly with Dev.to (Forem) through native MCP adapters. Connect 12 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 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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 12 tools from Dev.to (Forem) via MCP

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

LangChain provides unique advantages when paired with Dev.to (Forem) through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Dev.to (Forem) 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 (Forem) queries for multi-turn workflows

Dev.to (Forem) + LangChain Use Cases

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

RAG with live data: combine Dev.to (Forem) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Dev.to (Forem), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Dev.to (Forem) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Dev.to (Forem) tool call, measure latency, and optimize your agent's performance

Example Prompts for Dev.to (Forem) in LangChain

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

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

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

"Show me my account details and API status."

Troubleshooting Dev.to (Forem) MCP Server with LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Dev.to (Forem) + LangChain FAQ

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

How does LangChain connect to MCP servers?

Use 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?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.