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.

Which language pairs are supported?

TMT supports a wide range of pairs including ZH (Chinese), EN (English), PT (Portuguese), ES (Spanish), FR (French), JA (Japanese), and more. Use `auto` for the source to let TMT decide.

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 Tencent Cloud TMT.

Tencent TMT / 腾讯机器翻译 MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Tencent TMT / 腾讯机器翻译
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Tencent TMT / 腾讯机器翻译 through Vinkius, pass the Edge URL in the `mcps` parameter and every Tencent TMT / 腾讯机器翻译 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 TMT / 腾讯机器翻译 Specialist",
    goal="Help users interact with Tencent TMT / 腾讯机器翻译 effectively",
    backstory=(
        "You are an expert at leveraging Tencent TMT / 腾讯机器翻译 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 TMT / 腾讯机器翻译 "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

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About Tencent TMT / 腾讯机器翻译 MCP Server

Empower your AI agent to orchestrate your global content and multilingual communication with Tencent TMT (机器翻译), the premier NLP platform by Tencent Cloud. By connecting TMT to your agent, you transform complex translation tasks, language identification, and technical localization into a natural conversation. Your agent can instantly translate text between dozens of languages, automatically identify source languages, and provide enterprise-grade localized results without you ever needing to navigate the Tencent Cloud Console. Whether you are translating technical documentation or coordinating global customer support, your agent acts as a real-time linguistic coordinator, providing accurate and reliable results from a single, authorized source.

When paired with CrewAI, Tencent TMT / 腾讯机器翻译 becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Tencent TMT / 腾讯机器翻译 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

Precision Translation — Translate text between major world languages including Chinese, English, Portuguese, Spanish, and French.
Language Identification — Automatically detect the source language of any text snippet with high confidence.
Specialized Workflows — Use dedicated tools for frequent language pairs (EN-ZH, ZH-EN) for faster processing.
Global Localization — Bridge linguistic gaps by localizing your content for the Chinese and global markets.
Operational Monitoring — Verify API connectivity and monitor service status to ensure consistent uptime.

The Tencent TMT / 腾讯机器翻译 MCP Server exposes 10 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 TMT / 腾讯机器翻译 to CrewAI via MCP

Follow these steps to integrate the Tencent TMT / 腾讯机器翻译 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 10 tools from Tencent TMT / 腾讯机器翻译

Why Use CrewAI with the Tencent TMT / 腾讯机器翻译 MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Tencent TMT / 腾讯机器翻译 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 TMT / 腾讯机器翻译 + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Tencent TMT / 腾讯机器翻译 MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Tencent TMT / 腾讯机器翻译 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 TMT / 腾讯机器翻译, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Tencent TMT / 腾讯机器翻译 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 TMT / 腾讯机器翻译 against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Tencent TMT / 腾讯机器翻译 MCP Tools for CrewAI (10)

These 10 tools become available when you connect Tencent TMT / 腾讯机器翻译 to CrewAI via MCP:

check_tmt_status

Check TMT API status

detect_language

Detect language of text

translate_en_to_zh

Translate English to Chinese

translate_text

Translate text between languages

translate_to_chinese

Translate text to Chinese

translate_to_english

Translate text to English

translate_to_french

Translate text to French

translate_to_portuguese

Translate text to Portuguese

translate_to_spanish

Translate text to Spanish

translate_zh_to_en

Translate Chinese to English

Example Prompts for Tencent TMT / 腾讯机器翻译 in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Tencent TMT / 腾讯机器翻译 immediately.

"Translate this to Portuguese using Tencent TMT: 'The system will be updated tonight at 10 PM'."

"Check what language this is: '系统升级中，请稍候'。"

"Translate 'I am very happy to help you' from English to Simplified Chinese."

Troubleshooting Tencent TMT / 腾讯机器翻译 MCP Server with CrewAI

Common issues when connecting Tencent TMT / 腾讯机器翻译 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 TMT / 腾讯机器翻译 + CrewAI FAQ

Common questions about integrating Tencent TMT / 腾讯机器翻译 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.