Bring Social Publishing
to OpenAI Agents SDK
Learn how to connect Postproxy to OpenAI Agents SDK and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
How it works
1. Connect your Postproxy account. 2. Provide your secure API token. 3. Ask your AI Agent to schedule posts, manage comments, or list your available profiles.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.Built-in capabilities (11)
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
Why OpenAI Agents SDK?
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.
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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
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Postproxy in OpenAI Agents SDK
Postproxy and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Postproxy to OpenAI Agents SDK 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 | 3,400+ 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 Postproxy in OpenAI Agents SDK
The Postproxy 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 11 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK 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
Postproxy for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Postproxy MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can the AI Agent schedule posts for any future date?
Yes, as long as you provide a valid ISO date, your AI Agent can schedule posts using Postproxy.
Can I manage comments directly from the AI Agent?
Absolutely. You can list, like, reply, hide, or unhide comments across your posts seamlessly.
Does the AI Agent support grouping profiles?
Yes! The AI Agent can retrieve your Profile Groups so you can target multiple social media accounts at once.
How does the OpenAI Agents SDK connect to MCP?
Use 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?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.