Tencent Docs MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Tencent Docs through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Tencent Docs, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Docs MCP Server
Empower your AI agent to orchestrate your collaborative production with Tencent Docs, the premier office workspace for real-time collaboration. By connecting Tencent Docs to your agent, you transform complex file operations and spreadsheet management into a natural conversation. Your agent can instantly list your documents, create new files, retrieve spreadsheet data, and even monitor collaborators without you ever needing to navigate the web interface. Whether you are managing team reports or complex financial models, your agent acts as a real-time productivity assistant, keeping your workspace organized and your data accessible.
The Vercel AI SDK gives every Tencent Docs tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- File Orchestration — List all accessible documents, sheets, and slides across your Tencent Docs account.
- Spreadsheet Control — Retrieve and update values in specific ranges within your sheets with ease.
- Content Access — Retrieve the full text content of your documents for analysis and summarization.
- Collaboration Monitoring — List file collaborators and manage access insights for your team.
- Organization Overview — Access member lists to ensure effective coordination within your organization.
The Tencent Docs MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK 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 Docs to Vercel AI SDK via MCP
Follow these steps to integrate the Tencent Docs MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Tencent Docs and passes them to the LLM
Why Use Vercel AI SDK with the Tencent Docs MCP Server
Vercel AI SDK provides unique advantages when paired with Tencent Docs through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Tencent Docs integration everywhere
Built-in streaming UI primitives let you display Tencent Docs tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Tencent Docs + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Tencent Docs MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Tencent Docs in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Tencent Docs tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Tencent Docs capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Tencent Docs through natural language queries
Tencent Docs MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Tencent Docs to Vercel AI SDK via MCP:
create_file
Create a new document
delete_file
Delete a document
get_doc_content
Get document content
get_file_info
Get file metadata
get_org_members
List organization members
get_sheet_data
Read spreadsheet data
list_collaborators
List file collaborators
list_files
List all Tencent Docs files
list_folders
List all folders
update_sheet_data
Update spreadsheet data
Example Prompts for Tencent Docs in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Tencent Docs immediately.
"List all my documents on Tencent Docs."
"Read the values from 'Inventory!A1:B10' in spreadsheet 'doc-8821'."
"Create a new document titled 'Project Kickoff Notes'."
Troubleshooting Tencent Docs MCP Server with Vercel AI SDK
Common issues when connecting Tencent Docs to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTencent Docs + Vercel AI SDK FAQ
Common questions about integrating Tencent Docs MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
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?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Tencent Docs with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Tencent Docs to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.