DocsBot 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 DocsBot through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
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 DocsBot, 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 DocsBot MCP Server
Integrate DocsBot, the AI-powered knowledge base platform, directly into your AI workflow. Manage your custom AI bots, track their data sources (URLs, PDFs, documents), monitor indexing status, and query your bots directly using natural language.
The Vercel AI SDK gives every DocsBot 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
- Bot Oversight — List and retrieve detailed configuration and metadata for all the AI bots in your team.
- Knowledge Management — Monitor data sources used to train your bots and track their last indexing timestamps.
- Bot Interaction — Query your bots directly via the agent to retrieve AI-generated answers based on your knowledge base.
- Analytics & Logs — Access technical logs of recent bot interactions, including questions and generated answers.
The DocsBot 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 DocsBot to Vercel AI SDK via MCP
Follow these steps to integrate the DocsBot 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 DocsBot and passes them to the LLM
Why Use Vercel AI SDK with the DocsBot MCP Server
Vercel AI SDK provides unique advantages when paired with DocsBot 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 DocsBot integration everywhere
Built-in streaming UI primitives let you display DocsBot 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
DocsBot + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the DocsBot MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query DocsBot in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate DocsBot tools and return structured JSON responses to any frontend
Chatbots with tool use: embed DocsBot capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with DocsBot through natural language queries
DocsBot MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect DocsBot to Vercel AI SDK via MCP:
ask_bot_question
Ask a technical question to a specific DocsBot and retrieve an AI-generated answer
get_bot_details
Get detailed settings and information for a specific bot
get_bot_knowledge_summary
Retrieve a high-level summary of the knowledge base size and source count
get_docsbot_account_metadata
Retrieve metadata for the current authenticated user
list_bot_interaction_logs
List recent questions and answers handled by a specific bot
list_bot_knowledge_sources
List all data sources (URL, PDF, etc.) used to train a specific bot
list_docsbot_teams
List all teams you are a member of in DocsBot
list_recently_indexed_bots
Identify bots that have had their knowledge base updated recently (mock logic)
list_team_bots
List all AI bots configured within a specific team
search_bot_sources
Search for specific knowledge sources by name keyword
Example Prompts for DocsBot in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with DocsBot immediately.
"Ask our 'API Docs Bot': 'How do I authenticate using the SDK?'."
"List all data sources used by our 'Support Bot'."
"Show me the last 5 questions asked to the 'Sales Bot'."
Troubleshooting DocsBot MCP Server with Vercel AI SDK
Common issues when connecting DocsBot to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDocsBot + Vercel AI SDK FAQ
Common questions about integrating DocsBot 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 DocsBot 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 DocsBot to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.