CrowdSec MCP Server for LangChainGive LangChain instant access to 3 tools to Get Cti Smoke, Get Decisions, Get Decisions Stream
GDPR Free for SubscribersLangChain is the leading Python framework for composable LLM applications. Connect CrowdSec through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
Ask AI about this MCP Server for LangChain
The CrowdSec MCP Server for LangChain 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
Geminiimport asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"crowdsec": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using CrowdSec, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with CrowdSec through native MCP adapters. Connect 3 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain
When LangChain 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 LangChain via MCP
Follow these steps to wire CrowdSec into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the CrowdSec MCP Server
LangChain provides unique advantages when paired with CrowdSec through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine CrowdSec MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across CrowdSec queries for multi-turn workflows
CrowdSec + LangChain Use Cases
Practical scenarios where LangChain combined with the CrowdSec MCP Server delivers measurable value.
RAG with live data: combine CrowdSec tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query CrowdSec, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain CrowdSec tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every CrowdSec tool call, measure latency, and optimize your agent's performance
Example Prompts for CrowdSec in LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting CrowdSec to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCrowdSec + LangChain FAQ
Common questions about integrating CrowdSec MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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