Tencent TMT / 腾讯机器翻译 Connector for AI agents.
10 live capabilities
Access your wearable health metrics and sleep data through a conversational interface.
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Why people use Tencent TMT / 腾讯机器翻译
Oura for Wearable Health Analytics
This Connector changes the dynamic by making that data conversational. Instead of hunting for your HRV from last Tuesday, you just ask your agent to tell you what happened. It pulls the raw numbers from your Oura account and gives you a straight answer, helping you spot patterns in your sleep and activity without the manual headache.
What Vinkius changes
You get a conversational way to query your wearable health data without opening a single extra app.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Training adjustment
An athlete asks 'Should I hit a PR today?
- Real-world use case 02
Sleep analysis
A user asks 'Why did I feel tired?
- Real-world use case 03
Activity review
A busy professional asks 'Did I hit my movement goals this week?
Complete set · 10capabilities
The complete Tencent TMT / 腾讯机器翻译 capability set.
These are the exact actions your AI can choose when you ask it to work with Tencent TMT / 腾讯机器翻译.
01—04
4 capabilities in this set.
Part of 10 available through Tencent TMT / 腾讯机器翻译.
- 01 Capability
Detect language
Detect language of text
- 02 Capability
Translate to chinese
Translate text to Chinese
- 03 Capability
Translate to english
Translate text to English
- 04 Capability
Translate to french
Translate text to French
05—07
3 capabilities in this set.
Part of 10 available through Tencent TMT / 腾讯机器翻译.
- 05 Capability
Check tmt status
Check TMT API status
- 06 Capability
Translate text
Translate text between languages
- 07 Capability
Translate zh to en
Translate Chinese to English
08—10
3 capabilities in this set.
Part of 10 available through Tencent TMT / 腾讯机器翻译.
- 08 Capability
Translate en to zh
Translate English to Chinese
- 09 Capability
Translate to portuguese
Translate text to Portuguese
- 10 Capability
Translate to spanish
Translate text to Spanish
Set up in minutes
One URL. Then ask Tencent TMT / 腾讯机器翻译 to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Tencent TMT / 腾讯机器翻译 from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_ktTOXfwk1LUlUYnGPgg58IgaFb66ZFQRIvBO7FDH/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Tencent TMT / 腾讯机器翻译, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Tencent TMT / 腾讯机器翻译 for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_ktTOXfwk1LUlUYnGPgg58IgaFb66ZFQRIvBO7FDH/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Tencent TMT / 腾讯机器翻译 URL.
- Step 03
Save and start
Save the connection and enable Tencent TMT / 腾讯机器翻译 in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"aconex": {
"url": "https://edge.vinkius.com/vk_preview_ktTOXfwk1LUlUYnGPgg58IgaFb66ZFQRIvBO7FDH/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Tencent TMT / 腾讯机器翻译
Open Agent mode in chat and ask: "Using Tencent TMT / 腾讯机器翻译, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"aconex": {
"url": "https://edge.vinkius.com/vk_preview_ktTOXfwk1LUlUYnGPgg58IgaFb66ZFQRIvBO7FDH/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Tencent TMT / 腾讯机器翻译
Ask Copilot: "Using Tencent TMT / 腾讯机器翻译, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"aconex": {
"url": "https://edge.vinkius.com/vk_preview_ktTOXfwk1LUlUYnGPgg58IgaFb66ZFQRIvBO7FDH/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Tencent TMT / 腾讯机器翻译
Open Cascade and ask: "Using Tencent TMT / 腾讯机器翻译, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"aconex": {
"url": "https://edge.vinkius.com/vk_preview_ktTOXfwk1LUlUYnGPgg58IgaFb66ZFQRIvBO7FDH/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Tencent TMT / 腾讯机器翻译
Ask Cline: "Using Tencent TMT / 腾讯机器翻译, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add aconex --transport http "https://edge.vinkius.com/vk_preview_ktTOXfwk1LUlUYnGPgg58IgaFb66ZFQRIvBO7FDH/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Tencent TMT / 腾讯机器翻译
Ask Claude: "Using Tencent TMT / 腾讯机器翻译, show me...". 10 tools are ready
Where the request belongs
Work Tencent TMT / 腾讯机器翻译 can move forward.
Who wakes up in the morning needing this? It's the biohacker who wants to know why they're tired or the athlete who needs to know if they're ready to train. It's for anyone who wants to turn raw wearable data into actionable daily insights.
Biohacker
Correlates mood tags with sleep scores to find patterns in behavior and recovery.
Endurance Athlete
Monitors HRV and recovery to decide when to push hard or take a rest day.
Wellness Enthusiast
Tracks daily activity goals and sleep efficiency over months to build better habits.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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DeepL
Translate text between 30+ languages with neural machine translation that captures nuance and tone better than generic engines.
Bring your own AI
Change the model, client or framework. Keep Tencent TMT / 腾讯机器翻译 connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Tencent TMT / 腾讯机器翻译.
The practical details behind the request, access and result.
Can I use Oura MCP with Claude?
Yes, it works with any MCP-compatible client, including Claude, Cursor, and Windsurf. You just connect it via Vinkius.
Does Oura MCP track my heart rate?
Yes, it can pull 5-minute heart rate samples and HRV data from your Oura Ring to help you monitor heart health.
How do I connect my Oura Ring to my AI agent?
You just need to subscribe to the Connector on Vinkius and enter your Oura Personal Access Token. From there, your agent can access your data.
Can I see my manual mood tags with Oura MCP?
Yes, the Connector can retrieve all your user-entered tags for mood, energy, and behaviors, making it easy to find patterns in your data.
Is Oura MCP good for athletes?
It's excellent for athletes who want to monitor recovery, HRV, and workout performance to optimize their training cycles.
Does Oura MCP work for sleep tracking?
Yes, it provides detailed sleep scores, efficiency metrics, and a breakdown of your REM, deep, and light sleep stages.
Is my Oura data private when using this Connector?
The Connector only accesses your data when you specifically ask your AI agent to pull it, ensuring you stay in control of your information.
How do I get an Oura Personal Access Token?
Log in to your Oura account at cloud.ouraring.com, create a personal access token in your account settings. The token gives access to your sleep, activity, readiness and health data.
What health data is available?
Sleep (score, stages, efficiency), Activity (steps, calories, MET), Readiness (score, HRV, RHR, temperature), Tags (mood, energy, behaviors), Workouts (type, duration, HR zones) and Heart Rate (5-min samples).
How far back can I access data?
You can access all historical data recorded by your Oura Ring. Use start_date and end_date parameters to filter results. Data is paginated with a nextToken for large date ranges.
How do I find my Tencent Cloud SecretId and SecretKey?
Log in to the Tencent Cloud Console, 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.
One connection away
Give your agent a direct line to Tencent TMT / 腾讯机器翻译.
Connect Tencent TMT / 腾讯机器翻译 once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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