How do I find my Tencent Cloud SecretId and SecretKey?

Log in to the [Tencent Cloud Console](https://console.cloud.tencent.com/), navigate to [Access Management] -> [API Key Management] to find or generate your unique SecretId and SecretKey.

Where do I get the CaptchaAppId and AppSecretKey?

Navigate to the [Tencent CAPTCHA (防水墙) Console](https://console.cloud.tencent.com/captcha), select your CAPTCHA application, and you will find these identifiers in the application overview or basic information section.

What is the 'EvilLevel' metric?

EvilLevel is a risk score (0-100) provided by Tencent Cloud to identify suspicious activity. A higher value indicates a higher probability that the user is a malicious bot or part of a fraudulent attack.

Tencent CAPTCHA / 腾讯云防水墙 MCP Server for Pydantic AI 2 tools — connect in under 2 minutes

Name: Tencent CAPTCHA / 腾讯云防水墙
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 2 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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 Tencent CAPTCHA / 腾讯云防水墙 "
            "(2 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Tencent CAPTCHA / 腾讯云防水墙?"
    )
    print(result.data)

asyncio.run(main())

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About Tencent CAPTCHA / 腾讯云防水墙 MCP Server

Empower your AI agent to orchestrate your application security and bot protection with Tencent CAPTCHA (防水墙), the dominant anti-fraud and CAPTCHA platform in China. By connecting Tencent CAPTCHA to your agent, you transform complex ticket verification, risk level auditing, and security diagnostics into a natural conversation. Your agent can instantly validate frontend CAPTCHA results (ticket and randstr), provide detailed explanations of suspicious 'EvilLevel' numeric values, and audit your AppId configurations without you ever needing to navigate the comprehensive Tencent Cloud Console. Whether you are building a secure registration flow or conducting a real-time risk assessment, your agent acts as a real-time security coordinator, providing accurate results from a single, authorized source.

Pydantic AI validates every Tencent CAPTCHA / 腾讯云防水墙 tool response against typed schemas, catching data inconsistencies at build time. Connect 2 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

Verification Orchestration — Securely validate CAPTCHA tickets and random strings from end-user interactions.
Risk Level Auditing — Interpret 'EvilLevel' metrics to identify human users vs suspicious bot activities.
Security Discovery — Verify AppId information, supported regions, and API version compliance.
Diagnostic Auditing — Validate user IP formats and ticket strings to ensure high-precision security checks.
System Monitoring — Monitor API connectivity and gateway status to maintain robust platform protection.

The Tencent CAPTCHA / 腾讯云防水墙 MCP Server exposes 2 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.

How to Connect Tencent CAPTCHA / 腾讯云防水墙 to Pydantic AI via MCP

Follow these steps to integrate the Tencent CAPTCHA / 腾讯云防水墙 MCP Server with Pydantic AI.

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 2 tools from Tencent CAPTCHA / 腾讯云防水墙 with type-safe schemas

Why Use Pydantic AI with the Tencent CAPTCHA / 腾讯云防水墙 MCP Server

Pydantic AI provides unique advantages when paired with Tencent CAPTCHA / 腾讯云防水墙 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 Tencent CAPTCHA / 腾讯云防水墙 integration code

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

Dependency injection system cleanly separates your Tencent CAPTCHA / 腾讯云防水墙 connection logic from agent behavior for testable, maintainable code

Tencent CAPTCHA / 腾讯云防水墙 + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Tencent CAPTCHA / 腾讯云防水墙 MCP Server delivers measurable value.

Type-safe data pipelines: query Tencent CAPTCHA / 腾讯云防水墙 with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Tencent CAPTCHA / 腾讯云防水墙 tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Tencent CAPTCHA / 腾讯云防水墙 and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Tencent CAPTCHA / 腾讯云防水墙 responses and write comprehensive agent tests

Tencent CAPTCHA / 腾讯云防水墙 MCP Tools for Pydantic AI (2)

These 2 tools become available when you connect Tencent CAPTCHA / 腾讯云防水墙 to Pydantic AI via MCP:

get_captcha_app_info

Get CAPTCHA application configuration

verify_captcha

Returns verification result with evil level score. CaptchaType is fixed to 9 (slide). Verify a CAPTCHA ticket

Example Prompts for Tencent CAPTCHA / 腾讯云防水墙 in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Tencent CAPTCHA / 腾讯云防水墙 immediately.

"Verify this CAPTCHA ticket: 't0...ABCD' with randstr 'xyz123' from IP '1.2.3.4'."

"What does an EvilLevel of 85 mean?"

"Show me the configuration and status of my Tencent CAPTCHA project."

Troubleshooting Tencent CAPTCHA / 腾讯云防水墙 MCP Server with Pydantic AI

Common issues when connecting Tencent CAPTCHA / 腾讯云防水墙 to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Tencent CAPTCHA / 腾讯云防水墙 + Pydantic AI FAQ

Common questions about integrating Tencent CAPTCHA / 腾讯云防水墙 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 Tencent CAPTCHA / 腾讯云防水墙 MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.