CrowdSec MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 3 tools to Get Cti Smoke, Get Decisions, Get Decisions Stream
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect CrowdSec 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 for OpenAI Agents SDK
The CrowdSec MCP Server for OpenAI Agents SDK is a standout in the Fort Knox category — giving your AI agent 3 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="CrowdSec Assistant",
instructions=(
"You help users interact with CrowdSec. "
"You have access to 3 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from CrowdSec"
)
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 CrowdSec MCP Server
Connect your CrowdSec security engine to any AI agent to take full control of your threat intelligence and network defense through natural conversation.
The OpenAI Agents SDK auto-discovers all 3 tools from CrowdSec through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries CrowdSec, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Local Decisions — Query your Local API (LAPI) for active blocks or decisions on specific IPs, ranges, or scopes to understand current local threats.
- Decision Streaming — Poll for real-time updates on new and deleted decisions from your local database to keep your security context synchronized.
- Global CTI Reputation — Fetch global IP reputation data, behaviors, and classifications from the CrowdSec Community Threat Intelligence (CTI) network.
- Security Auditing — Inspect metadata and classifications for suspicious actors directly from your command interface or code editor.
The CrowdSec MCP Server exposes 3 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 3 CrowdSec tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to CrowdSec through Vinkius, your AI agent gets direct access to every tool listed below — spanning threat-intelligence, firewall-management, ip-reputation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Get cti smoke on CrowdSec
Get CTI reputation for an IP
Get decisions on CrowdSec
Query CrowdSec LAPI for decisions
Get decisions stream on CrowdSec
Poll for new and deleted decisions from LAPI
Connect CrowdSec to OpenAI Agents SDK via MCP
Follow these steps to wire CrowdSec into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind 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 CrowdSec MCP Server
OpenAI Agents SDK provides unique advantages when paired with CrowdSec 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
CrowdSec + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the CrowdSec MCP Server delivers measurable value.
Automated workflows: build agents that query CrowdSec, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries CrowdSec, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through CrowdSec tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query CrowdSec to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for CrowdSec in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with CrowdSec immediately.
"Check if there are any active decisions for IP 1.2.3.4 in our local CrowdSec database."
"Get the latest stream of decisions from CrowdSec to see recent blocks."
"What is the global reputation of IP 185.220.101.101 according to CrowdSec CTI?"
Troubleshooting CrowdSec MCP Server with OpenAI Agents SDK
Common issues when connecting CrowdSec to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
CrowdSec + OpenAI Agents SDK FAQ
Common questions about integrating CrowdSec 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?
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