Postproxy MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 11 tools to CreateCommentReply, CreatePost, DeletePost, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Postproxy through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Postproxy app connector for OpenAI Agents SDK is a standout in the Marketing Automation category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Postproxy Assistant",
instructions=(
"You help users interact with Postproxy. "
"You have access to 11 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Postproxy"
)
print(result.final_output)
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 Postproxy MCP Server
What you can do
- Automated Publishing: Create, publish, or schedule posts across various social media platforms directly via your AI Agent.
- Profile Management: List connected social profiles and group them to streamline multi-platform campaigns.
- Post Management: Retrieve, filter by status, and delete specific posts on the fly.
- Engagement Handling: Read comments, reply, like, or hide specific interactions seamlessly.
Who is it for?
Marketing teams, social media managers, and developers looking to integrate Postproxy for AI Agents to streamline multi-channel social media campaigns and audience engagement.The OpenAI Agents SDK auto-discovers all 11 tools from Postproxy through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Postproxy, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
The Postproxy MCP Server exposes 11 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 11 Postproxy tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Postproxy through Vinkius, your AI agent gets direct access to every tool listed below — spanning social-publishing, local-seo, review-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Reply to a comment on a post in Postproxy
Provide text, status, and the list of profile IDs to publish to. Create a new post in Postproxy
Delete a post in Postproxy
Get a specific post by ID in Postproxy
Hide a comment on a post in Postproxy
Like a comment on a post in Postproxy
List comments for a specific post in Postproxy
List posts in Postproxy
List all profile groups in Postproxy
List all social media profiles connected to Postproxy
Unhide a comment on a post in Postproxy
Connect Postproxy to OpenAI Agents SDK via MCP
Follow these steps to wire Postproxy into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Postproxy MCP Server
OpenAI Agents SDK provides unique advantages when paired with Postproxy through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Postproxy + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Postproxy MCP Server delivers measurable value.
Automated workflows: build agents that query Postproxy, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Postproxy, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Postproxy tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Postproxy to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Postproxy in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Postproxy immediately.
"List all my available social media profiles."
"Schedule a new post for tomorrow morning announcing our new AI feature."
"Fetch the latest comments on my recent post."
Troubleshooting Postproxy MCP Server with OpenAI Agents SDK
Common issues when connecting Postproxy to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Postproxy + OpenAI Agents SDK FAQ
Common questions about integrating Postproxy MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.