Keepcon MCP Server for OpenAI Agents SDK 9 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Keepcon 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="Keepcon Assistant",
instructions=(
"You help users interact with Keepcon. "
"You have access to 9 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Keepcon"
)
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 Keepcon MCP Server
Empower your AI agents to moderate user-generated content using Keepcon. This MCP server enables seamless integration with Keepcon's semantic moderation engine for both real-time and batch processing.
The OpenAI Agents SDK auto-discovers all 9 tools from Keepcon through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Keepcon, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Real-time Moderation — Submit text for immediate moderation decisions (approve/reject) and category tagging
- Batch Processing — Import large volumes of content for asynchronous moderation and retrieve results in bulk
- Result Management — Export pending moderation decisions and acknowledge processed results to maintain a clean queue
- Feedback Loop — Submit feedback on moderation decisions to improve the accuracy of the semantic engine
- Profile Insight — List and query user profiles associated with moderated content
The Keepcon MCP Server exposes 9 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 Keepcon to OpenAI Agents SDK via MCP
Follow these steps to integrate the Keepcon 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 9 tools from Keepcon
Why Use OpenAI Agents SDK with the Keepcon MCP Server
OpenAI Agents SDK provides unique advantages when paired with Keepcon 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
Keepcon + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Keepcon MCP Server delivers measurable value.
Automated workflows: build agents that query Keepcon, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Keepcon, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Keepcon tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Keepcon to resolve tickets, look up records, and update statuses without human intervention
Keepcon MCP Tools for OpenAI Agents SDK (9)
These 9 tools become available when you connect Keepcon to OpenAI Agents SDK via MCP:
acknowledge_results
Acknowledge receipt of results
export_results
Retrieve batch moderation results
get_profile
Get a specific user profile by Keepcon ID
get_profile_by_social_id
g., twitter, facebook) and the network-specific user ID. Get a user profile by social network ID
import_batch
Returns an import ID. Submit content for batch moderation
list_profiles
List user profiles
moderate_content
Returns the decision (approve/reject) and tags. Moderates content in real-time
search_profiles
Search profiles with filters
submit_feedback
g., false positives) to improve the semantic engine. Submit moderation feedback
Example Prompts for Keepcon in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Keepcon immediately.
"Moderate this text in the 'forum' context: 'This user is being very aggressive!'"
"Export pending moderation results for the 'chat' context."
"List all user profiles in my Keepcon account."
Troubleshooting Keepcon MCP Server with OpenAI Agents SDK
Common issues when connecting Keepcon to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Keepcon + OpenAI Agents SDK FAQ
Common questions about integrating Keepcon 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 Keepcon 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 Keepcon to OpenAI Agents SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.