Can my AI automatically find the details of an assistant just by providing its ID?

Yes! Use the `get_assistant_info` tool 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` tool for each document you want to add. After uploading, use the `list_files` tool to verify they are processed and available for RAG operations.

Tencent Yuanqi MCP Server for VS Code Copilot 9 tools — connect in under 2 minutes

Name: Tencent Yuanqi
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 9 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

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.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Tencent Yuanqi and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

{
  "mcpServers": {
    "tencent-yuanqi": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Tencent Yuanqi MCP Server

Connect your AI agents to Tencent Yuanqi (腾讯元器), the official intelligent agent platform powered by the Hunyuan large model. This MCP provides 9 tools for comprehensive agent management and high-performance RAG operations.

GitHub Copilot Agent mode brings Tencent Yuanqi data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 9 tools — Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

Agent Interaction — Chat with published agents using persistent sessions and context tracking
Document Lifecycle — Upload, list, and delete documents for agent knowledge bases with real-time status tracking
Assistant Profiling — Retrieve metadata and configuration for any assistant in your workspace
Usage Analysis — Monitor token consumption and remaining quota programmatically

The Tencent Yuanqi MCP Server exposes 9 tools through the Vinkius. Connect it to VS Code Copilot 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 Yuanqi to VS Code Copilot via MCP

Follow these steps to integrate the Tencent Yuanqi MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Tencent Yuanqi

Ask Copilot: "Using Tencent Yuanqi, help me..." — 9 tools available

Why Use VS Code Copilot with the Tencent Yuanqi MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Tencent Yuanqi through the Model Context Protocol.

VS Code is used by over 70% of developers — adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Tencent Yuanqi + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Tencent Yuanqi MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Tencent Yuanqi MCP Tools for VS Code Copilot (9)

These 9 tools become available when you connect Tencent Yuanqi to VS Code Copilot via MCP:

chat

Requires assistant_id and user_id. Chat with a Tencent Yuanqi assistant

delete_file

Delete an uploaded file

get_assistant_info

Get details about a specific assistant

get_file_info

Get metadata for a specific file

get_file_status

Check file processing status

get_usage

Check API usage and quota

list_assistants

List your own assistants

list_files

List uploaded files

upload_file

) to the Yuanqi platform for use in assistant knowledge bases. Upload a document for assistant context

Example Prompts for Tencent Yuanqi in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Tencent Yuanqi immediately.

"Chat with assistant 'assistant_123' and ask 'Explain the concept of deep learning'."

"Upload the file 'specs.pdf' to my Yuanqi account."

"List all assistants in my account."

Troubleshooting Tencent Yuanqi MCP Server with VS Code Copilot

Common issues when connecting Tencent Yuanqi to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Tencent Yuanqi + VS Code Copilot FAQ

Common questions about integrating Tencent Yuanqi MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.