How to Use the Dev.to (Forem) MCP in OpenAI Agents SDK
Manage your Dev.to content directly within the OpenAI Agents SDK. Stop context switching and keep your production agent in the flow.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Dev.to (Forem) MCP to OpenAI Agents SDK
Create your Vinkius account to connect Dev.to (Forem) to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Full article lifecycle for OpenAI Agents SDK
Your agent handles drafts and publications without ever leaving the dev environment. Use `create_article` to push new posts or `update_article` to refine existing ones based on real-time feedback. The system ensures your agent maintains control over your Forem presence. It uses `get_me` to verify credentials before executing any write operations, keeping your workflow secure.
Auditing Dev.to data in OpenAI Agents SDK
Get deep visibility into your community metrics by hooking into `list_articles` and `list_org_articles`. Your agent can flag content for review by checking against your existing library. Parsing metadata becomes trivial when you use `get_article_by_id`. You get the raw data you need to feed into your agent's reasoning loop without manual exports.
User and video tracking for OpenAI Agents SDK
Keep tabs on who is contributing with `list_org_users` and `get_user`. Your agent can now identify top contributors or verify author details instantly. It also monitors multimedia output via `list_videos`. This MCP Server feeds the right context to your agent so it stays updated on what your organization is actually publishing.
Set up Dev.to (Forem) MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Dev.to (Forem) tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Dev.to (Forem) tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Dev.to (Forem) tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Dev.to (Forem) Agent",
instructions="You have access to Dev.to (Forem) tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Dev.to (Forem). All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Built-in savings
60%
lower AI costs
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place for every integration
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Common questions about Dev.to (Forem) MCP in OpenAI Agents SDK
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