Tencent Yuanqi Connector for AI agents.
7 live capabilities
Manage Tencent Hunyuan agents and RAG knowledge bases from your workspace.
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Why people use Tencent Yuanqi
Tencent Yuanqi RAG Knowledge Base Management
This Connector puts those actions into your agent's hands. You can tell your agent to upload a file, check its status, and then start the conversation immediately. You get a streamlined way to build and maintain your knowledge base without the manual overhead.
What Vinkius changes
You get a direct programmatic bridge to the Tencent Yuanqi agent ecosystem.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Rapid RAG Knowledge Updates
A developer wants to add a new set of specs to an agent.
- Real-world use case 02
Knowledge Base Auditing
A knowledge manager needs to see what documents are live.
- Real-world use case 03
Automated Agent Testing
A product team wants to verify an assistant's configuration.
Complete set · 7capabilities
The complete Tencent Yuanqi capability set.
These are the exact actions your AI can choose when you ask it to work with Tencent Yuanqi.
01—04
4 capabilities in this set.
Part of 7 available through Tencent Yuanqi.
- 01 Capability
Get file info
Grab the specific details for a single uploaded file. Use this to confirm IDs and status for specific documents.
- 02 Capability
Get file status
Check if a document is still being processed. This keeps you from guessing when your RAG knowledge base is ready.
- 03 Capability
Upload file
Send a new document to the platform for assistant context. This lets you build out your knowledge base on the fly.
- 04 Capability
Get assistant info
Pull the metadata and config for a specific assistant. It's great for verifying settings without opening the web portal.
05—07
3 capabilities in this set.
Part of 7 available through Tencent Yuanqi.
- 05 Capability
List files
See every document currently in your agent's knowledge base. It's a quick way to audit your uploaded content.
- 06 Capability
Chat
Start a conversation with a specific Tencent Yuanqi assistant. Use this to test responses or get information from your published agents.
- 07 Capability
Delete file
Remove a specific file from your assistant's knowledge base. Use this to keep your data clean and relevant.
Set up in minutes
One URL. Then ask Tencent Yuanqi to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Tencent Yuanqi 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_MITkWx3TkV2oM8SjxiydS6HCeWN5etyUyptl73pZ/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 Yuanqi, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Tencent Yuanqi for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_MITkWx3TkV2oM8SjxiydS6HCeWN5etyUyptl73pZ/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 Yuanqi URL.
- Step 03
Save and start
Save the connection and enable Tencent Yuanqi in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"tencent-yuanqi": {
"url": "https://edge.vinkius.com/vk_preview_MITkWx3TkV2oM8SjxiydS6HCeWN5etyUyptl73pZ/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 Yuanqi
Open Agent mode in chat and ask: "Using Tencent Yuanqi, help me...". 7 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"tencent-yuanqi": {
"url": "https://edge.vinkius.com/vk_preview_MITkWx3TkV2oM8SjxiydS6HCeWN5etyUyptl73pZ/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 Yuanqi
Ask Copilot: "Using Tencent Yuanqi, help me...". 7 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"tencent-yuanqi": {
"url": "https://edge.vinkius.com/vk_preview_MITkWx3TkV2oM8SjxiydS6HCeWN5etyUyptl73pZ/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 Yuanqi
Open Cascade and ask: "Using Tencent Yuanqi, help me...". 7 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"tencent-yuanqi": {
"url": "https://edge.vinkius.com/vk_preview_MITkWx3TkV2oM8SjxiydS6HCeWN5etyUyptl73pZ/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 Yuanqi
Ask Cline: "Using Tencent Yuanqi, help me...". 7 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add tencent-yuanqi --transport http "https://edge.vinkius.com/vk_preview_MITkWx3TkV2oM8SjxiydS6HCeWN5etyUyptl73pZ/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 Yuanqi
Ask Claude: "Using Tencent Yuanqi, show me...". 7 tools are ready
Where the request belongs
Work Tencent Yuanqi can move forward.
This is for the AI developers and knowledge managers who need to scale RAG systems on Tencent's infrastructure without manual data entry.
AI Developer
Testing agent responses and automating document ingestion for new knowledge bases.
Knowledge Manager
Keeping multiple specialized RAG bases updated across various specialized agents.
Product Team Member
Integrating high-performance Chinese-native agents into custom applications.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Orchestrate Coze bots. manage conversations, handle RAG datasets, and trigger bot actions directly from any AI agent.
Dify
Manage agentic workflows via Dify. send chat messages, track conversations, audit app parameters, and handle file uploads directly from any AI agent.
SmartChatAI
Manage AI bots, knowledge bases, and messaging on SmartChatAI with AI agents.
Bot9
Manage your AI agents via Bot9. orchestrate bots, train them, and automate conversations directly from any AI agent.
GPTBots
Manage your conversational AI agents, workflows, and knowledge bases via AI.
Bring your own AI
Change the model, client or framework. Keep Tencent Yuanqi connected.
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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 Yuanqi.
The practical details behind the request, access and result.
What is Tencent Yuanqi?
It's an intelligent agent platform that uses the Hunyuan model to power specialized assistants. This Connector lets your AI client talk to those assistants directly.
Can I use this Connector to build a RAG system?
Yes, it lets you upload documents to a knowledge base and manage those files, which is the core of building a RAG system on the Tencent platform.
Does this work with any AI client?
It works with any client that supports the Model Context Protocol, like Claude or Cursor.
How do I manage my assistant's data?
You can use the Connector to list, upload, and delete files from your assistant's knowledge base without leaving your chat interface.
Can I check if my files are ready?
Yes, the Connector includes a capability to check the processing status of your uploaded documents so you know when they're active.
Is this for the Hunyuan model?
Yes, it specifically connects you to the Tencent Yuanqi platform which is powered by the Hunyuan large model.
Can I see my token usage?
Yes, you can check your remaining quota and token consumption programmatically to manage your account limits.
Can my AI automatically find the details of an assistant just by providing its ID?
Yes! Use the get_assistant_info capability with the Assistant ID. Your agent will respond with complete metadata, configuration, and capabilities connected to that specific agent in seconds.
How do I check the remaining token quota for my account?
Simply ask the agent to run the get_usage action. It will retrieve the current token consumption statistics and the remaining quota provided by the Yuanqi platform.
Can I upload multiple files for my assistant's knowledge base?
Yes! Use the upload_file capability for each document you want to add. After uploading, use the list_files capability to verify they are processed and available for RAG operations.
One connection away
Give your agent a direct line to Tencent Yuanqi.
Connect Tencent Yuanqi once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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