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.

What is the 'Beauty' score?

The Beauty score is an aesthetic metric provided by the Tencent Youtu AI, ranging from 0 to 100. It is a technical attribute intended for entertainment and lifestyle application scenarios.

Does this server handle signature calculation?

Yes! The server automatically calculates the required TC3-HMAC-SHA256 signature for every request using your provided SecretKey, ensuring secure authorized communication with the Tencent Cloud AI gateway.

Tencent Youtu / 腾讯优图 MCP Server for CrewAI 8 tools — connect in under 2 minutes

Name: Tencent Youtu / 腾讯优图
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to Tencent Youtu / 腾讯优图 through the Vinkius — pass the Edge URL in the `mcps` parameter and every Tencent Youtu / 腾讯优图 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 Youtu / 腾讯优图 Specialist",
    goal="Help users interact with Tencent Youtu / 腾讯优图 effectively",
    backstory=(
        "You are an expert at leveraging Tencent Youtu / 腾讯优图 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 Youtu / 腾讯优图 "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

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

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About Tencent Youtu / 腾讯优图 MCP Server

Empower your AI agent to orchestrate your visual intelligence and facial recognition workflows with Tencent Youtu (腾讯优图), the premier computer vision platform in China. By connecting Youtu to your agent, you transform complex image analysis, face comparison, and person management into a natural conversation. Your agent can instantly detect faces in image URLs, retrieve detailed attributes like age and beauty scores, compare identities across different photos, and manage secure person libraries without you ever needing to navigate the comprehensive Tencent Cloud Console. Whether you are building an automated KYC system or conducting a digital asset audit for facial content, your agent acts as a real-time computer vision specialist, providing accurate and fast results from a single, authorized source.

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

What you can do

Facial Orchestration — Detect faces, analyze attributes (gender, age, beauty), and perform static liveness checks.
Identity Comparison — Calculate similarity scores between two face images to verify identities with high precision.
Library Management — Register new persons, list group members, and manage unique identity identifiers.
Face Discovery — Search for matching faces within specific person groups to automate recognition workflows.
System Monitoring — Verify API connectivity and monitor service status to ensure visual intelligence reliability.

The Tencent Youtu / 腾讯优图 MCP Server exposes 8 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 Youtu / 腾讯优图 to CrewAI via MCP

Follow these steps to integrate the Tencent Youtu / 腾讯优图 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 8 tools from Tencent Youtu / 腾讯优图

Why Use CrewAI with the Tencent Youtu / 腾讯优图 MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Tencent Youtu / 腾讯优图 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 the 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 Youtu / 腾讯优图 + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Tencent Youtu / 腾讯优图 MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Tencent Youtu / 腾讯优图 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 Youtu / 腾讯优图, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Tencent Youtu / 腾讯优图 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 Youtu / 腾讯优图 against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Tencent Youtu / 腾讯优图 MCP Tools for CrewAI (8)

These 8 tools become available when you connect Tencent Youtu / 腾讯优图 to CrewAI via MCP:

analyze_face

Analyze facial attributes

compare_faces

Compare two faces

detect_face

Detect faces in image

list_face_groups

List person groups

list_persons_in_group

List persons in group

live_face_check

Detect live face

register_person

Create a new person

search_face_in_groups

Search face in library

Example Prompts for Tencent Youtu / 腾讯优图 in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Tencent Youtu / 腾讯优图 immediately.

"Detect faces in this image: [URL] and show me their attributes."

"Compare these two face images: [URL_A] and [URL_B]."

"Register a new person 'Alice' in group 'staff_01' with image [URL]."

Troubleshooting Tencent Youtu / 腾讯优图 MCP Server with CrewAI

Common issues when connecting Tencent Youtu / 腾讯优图 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

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

Tencent Youtu / 腾讯优图 + CrewAI FAQ

Common questions about integrating Tencent Youtu / 腾讯优图 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.