Bring Real Time Communication
to Vercel AI SDK
Create your Vinkius account to connect Tencent TRTC to Vercel AI SDK and start using all 11 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Tencent TRTC MCP Server?
Equip your AI agent with Tencent TRTC (Tencent Real-Time Communication), the underlying video-conferencing technology empowering massive platforms globally. This MCP server offers 10 deep tools to administrate live-streaming rooms automatically.
What you can do
- Session & User Administration — Kick malicious users from calls, dismiss full rooms, and track active users in real-time
- Cloud Processing — Autonomously start MCU stream mixing or coordinate high-definition cloud recordings to Tencent VOD
- Quality Assessment — Parse and assess real-time call performance matrices and dropped-frame analytics directly
How it works
- Subscribe to this server
- Insert your Tencent SecretId, SecretKey, and SdkAppId from your Developer Console
- Inject the server into your LLM logic to use it as an automated stream backend
Who is this for?
- Live-stream Moderators — Empower LLMs to automatically kick rogue broadcasters
- Cloud DevOps — Easily analyze network quality to diagnose why a client video is lagging
- Infrastructure Managers — Manage massive cloud recordings remotely
Built-in capabilities (11)
Get granular call quality metrics
Get TRTC room session details
Get aggregated TRTC usage statistics
Requires CommId format: SdkAppId_CreateTime. Query user list for a specific call session
Terminate a TRTC room session
Remove users from a TRTC room
Remove users from a TRTC room by string room ID
Start cloud recording for a TRTC room
Start MCU mix transcoding for a room
Stop an active cloud recording task
Stop MCU mix transcoding for a room
Why Vercel AI SDK?
The Vercel AI SDK gives every Tencent TRTC tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Tencent TRTC integration everywhere
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Built-in streaming UI primitives let you display Tencent TRTC tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Tencent TRTC in Vercel AI SDK
Why run Tencent TRTC with Vinkius?
The Tencent TRTC connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 11 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Tencent TRTC using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Tencent TRTC and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Tencent TRTC to Vercel AI SDK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Tencent TRTC for Vercel AI SDK
Every request between Vercel AI SDK and Tencent TRTC is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Does this support Tencent Cloud API v3 signature?
Yes! The MCP abstraction layer perfectly encapsulates and executes the TC3-HMAC-SHA256 signature algorithm natively so you don't have to code it. Just provide SecretId and SecretKey safely.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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