CrowdSec MCP Server for Pydantic AIGive Pydantic AI instant access to 3 tools to Get Cti Smoke, Get Decisions, Get Decisions Stream

Name: CrowdSec
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect CrowdSec through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The CrowdSec MCP Server for Pydantic AI is a standout in the Fort Knox category — giving your AI agent 3 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to CrowdSec "
            "(3 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in CrowdSec?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every CrowdSec tool response against typed schemas, catching data inconsistencies at build time. Connect 3 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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

Get cti smoke on CrowdSec

Get CTI reputation for an IP

get

Get decisions on CrowdSec

Query CrowdSec LAPI for decisions

get

Get decisions stream on CrowdSec

Poll for new and deleted decisions from LAPI

Connect CrowdSec to Pydantic AI via MCP

Follow these steps to wire CrowdSec into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 3 tools from CrowdSec with type-safe schemas

Why Use Pydantic AI with the CrowdSec MCP Server

Pydantic AI provides unique advantages when paired with CrowdSec through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your CrowdSec integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your CrowdSec connection logic from agent behavior for testable, maintainable code

CrowdSec + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the CrowdSec MCP Server delivers measurable value.

Type-safe data pipelines: query CrowdSec with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple CrowdSec tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query CrowdSec and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock CrowdSec responses and write comprehensive agent tests

Example Prompts for CrowdSec in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting CrowdSec to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

CrowdSec + Pydantic AI FAQ

Common questions about integrating CrowdSec MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your CrowdSec MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.