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 CrewAI 2 tools — connect in under 2 minutes

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

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 2 Tools Framework

Connect your CrewAI agents to Tencent CAPTCHA / 腾讯云防水墙 through Vinkius, pass the Edge URL in the `mcps` parameter and every Tencent CAPTCHA / 腾讯云防水墙 tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Tencent CAPTCHA / 腾讯云防水墙 Specialist",
    goal="Help users interact with Tencent CAPTCHA / 腾讯云防水墙 effectively",
    backstory=(
        "You are an expert at leveraging Tencent CAPTCHA / 腾讯云防水墙 tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Tencent CAPTCHA / 腾讯云防水墙 "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 2 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Tencent CAPTCHA / 腾讯云防水墙 becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Tencent CAPTCHA / 腾讯云防水墙 tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 2 tools from Tencent CAPTCHA / 腾讯云防水墙

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

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Tencent CAPTCHA / 腾讯云防水墙 through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

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

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

Automated multi-step research: a reconnaissance agent queries Tencent CAPTCHA / 腾讯云防水墙 for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Tencent CAPTCHA / 腾讯云防水墙, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Tencent CAPTCHA / 腾讯云防水墙 tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Tencent CAPTCHA / 腾讯云防水墙 against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

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

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

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

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Tencent CAPTCHA / 腾讯云防水墙 + CrewAI FAQ

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

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.