Oktopost MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Oktopost through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Oktopost Assistant",
instructions=(
"You help users interact with Oktopost. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Oktopost"
)
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 Oktopost MCP Server
Connect your Oktopost account to your AI agent and streamline your B2B social media marketing and lead generation through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Oktopost through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Oktopost, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Campaign Management — List all active and archived social media campaigns and retrieve detailed settings.
- Profile Oversight — Access metadata and connection statuses for all your linked social profiles (LinkedIn, Twitter, Facebook, etc.).
- Post Monitoring — List scheduled and sent social media messages across all campaigns and check their content.
- Lead & Contact Tracking — Retrieve a list of leads and contacts identified through social media engagement.
- Analytics Reporting — Fetch aggregated performance reports for specific metrics like clicks and shares.
- Conversion Tracking — Monitor successful goal completions and conversions attributed to your social activities.
- Deep Inspection — Fetch complete metadata for specific campaigns, messages, or social profiles using their unique IDs.
The Oktopost MCP Server exposes 10 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.
How to Connect Oktopost to OpenAI Agents SDK via MCP
Follow these steps to integrate the Oktopost MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Oktopost
Why Use OpenAI Agents SDK with the Oktopost MCP Server
OpenAI Agents SDK provides unique advantages when paired with Oktopost 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
Oktopost + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Oktopost MCP Server delivers measurable value.
Automated workflows: build agents that query Oktopost, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Oktopost, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Oktopost tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Oktopost to resolve tickets, look up records, and update statuses without human intervention
Oktopost MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Oktopost to OpenAI Agents SDK via MCP:
get_analytics_report
Get social analytics report
get_campaign_details
Get specific campaign info
get_message_details
Get specific message details
get_social_profile_details
Get specific profile info
list_campaigns
List social media campaigns
list_oktopost_tags
List organization tags
list_social_contacts
List social leads and contacts
list_social_conversions
List social-driven conversions
list_social_messages
List scheduled and sent messages
list_social_profiles
) connected to the account. List connected social profiles
Example Prompts for Oktopost in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Oktopost immediately.
"List all my active social media campaigns."
"What is the click engagement for the 'Summer Promo' campaign?"
"Show me the latest leads identified from LinkedIn."
Troubleshooting Oktopost MCP Server with OpenAI Agents SDK
Common issues when connecting Oktopost to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Oktopost + OpenAI Agents SDK FAQ
Common questions about integrating Oktopost 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.Does the SDK support streaming responses?
Connect Oktopost with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Oktopost to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.