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OOPSpam MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Add Blocked Ip, Check Bulk, Check Email, and more

Built by Vinkius GDPR 12 Tools SDK

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

Ask AI about this App Connector for Pydantic AI

The OOPSpam app connector for Pydantic AI is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 OOPSpam "
            "(12 tools)."
        ),
    )

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

asyncio.run(main())
OOPSpam
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 OOPSpam MCP Server

Connect your OOPSpam account to any AI agent and take full control of your content moderation and anti-spam orchestration through natural conversation. OOPSpam provides a privacy-first, highly accurate platform for protecting digital platforms from bots and malicious content, and this integration allows you to retrieve spam scores, monitor usage analytics, and submit manual reports directly from your chat interface.

Pydantic AI validates every OOPSpam tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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

  • Spam Checking Orchestration — Instantly analyze text content programmatically to retrieve detailed spam scores and detection reasons without compromising user privacy.
  • Usage & Credit Intelligence — Access and monitor your account usage statistics and catch-rates directly from the AI interface to ensure your protection is always active.
  • Spam Report Control — List submitted reports and programmatically report new spam content via natural language to improve your custom filtering logic.
  • Analytical Monitoring — Retrieve detailed account analytics and track spam trends using simple AI commands.
  • Operational Monitoring — Track system responses and manage API health to ensure your moderation workflows are always optimized.

The OOPSpam MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 OOPSpam tools available for Pydantic AI

When Pydantic AI connects to OOPSpam through Vinkius, your AI agent gets direct access to every tool listed below — spanning oopspam, anti-spam-api, content-moderation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

add_blocked_ip

Block an IP

check_bulk

Bulk spam check

check_email

Check email for spam

check_ip

Check IP for spam

check_oopspam_status

Verify connectivity

check_spam

Check for spam

get_analytics

Get analytics

get_daily_stats

Get daily stats

get_stats

Get usage stats

list_blocked_ips

List blocked IPs

list_reports

List reports

submit_report

Submit spam report

Connect OOPSpam to Pydantic AI via MCP

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

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from OOPSpam with type-safe schemas

Why Use Pydantic AI with the OOPSpam MCP Server

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

01

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

02

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

03

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

04

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

OOPSpam + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for OOPSpam in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with OOPSpam immediately.

01

"Check this message for spam: 'Win a free iPhone now!'"

02

"Check if the email address test@tempmail.xyz is likely spam or disposable."

03

"Analyze whether the IP address 185.220.101.45 is associated with spam or bot activity."

Troubleshooting OOPSpam MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

OOPSpam + Pydantic AI FAQ

Common questions about integrating OOPSpam MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

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