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 LangChain 2 tools — connect in under 2 minutes

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

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 2 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Tencent CAPTCHA / 腾讯云防水墙 through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 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({
        "tencent-captcha": {
            "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 Tencent CAPTCHA / 腾讯云防水墙, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with Tencent CAPTCHA / 腾讯云防水墙 through native MCP adapters. Connect 2 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

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 LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 2 tools from Tencent CAPTCHA / 腾讯云防水墙 via MCP

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

LangChain provides unique advantages when paired with Tencent CAPTCHA / 腾讯云防水墙 through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Tencent CAPTCHA / 腾讯云防水墙 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 Tencent CAPTCHA / 腾讯云防水墙 queries for multi-turn workflows

Tencent CAPTCHA / 腾讯云防水墙 + LangChain Use Cases

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

RAG with live data: combine Tencent CAPTCHA / 腾讯云防水墙 tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Tencent CAPTCHA / 腾讯云防水墙, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Tencent CAPTCHA / 腾讯云防水墙 tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Tencent CAPTCHA / 腾讯云防水墙 tool call, measure latency, and optimize your agent's performance

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

These 2 tools become available when you connect Tencent CAPTCHA / 腾讯云防水墙 to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Tencent CAPTCHA / 腾讯云防水墙 + LangChain FAQ

Common questions about integrating Tencent CAPTCHA / 腾讯云防水墙 MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use 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?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.