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 LlamaIndex 2 tools — connect in under 2 minutes

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

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 2 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Tencent CAPTCHA / 腾讯云防水墙 as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Tencent CAPTCHA / 腾讯云防水墙. "
            "You have 2 tools available."
        ),
    )

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

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.

LlamaIndex agents combine Tencent CAPTCHA / 腾讯云防水墙 tool responses with indexed documents for comprehensive, grounded answers. Connect 2 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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

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

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

Data-first architecture: LlamaIndex agents combine Tencent CAPTCHA / 腾讯云防水墙 tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Tencent CAPTCHA / 腾讯云防水墙 tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Tencent CAPTCHA / 腾讯云防水墙, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Tencent CAPTCHA / 腾讯云防水墙 tools were called, what data was returned, and how it influenced the final answer

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

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

Hybrid search: combine Tencent CAPTCHA / 腾讯云防水墙 real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Tencent CAPTCHA / 腾讯云防水墙 to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Tencent CAPTCHA / 腾讯云防水墙 for fresh data

Analytical workflows: chain Tencent CAPTCHA / 腾讯云防水墙 queries with LlamaIndex's data connectors to build multi-source analytical reports

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

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

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Tencent CAPTCHA / 腾讯云防水墙 + LlamaIndex FAQ

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

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Tencent CAPTCHA / 腾讯云防水墙 tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.