Guru MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Guru 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 Guru, 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 Guru MCP Server
Connect your Guru (Getguru) workspace to any AI agent to automate your knowledge management and enterprise wiki workflows through the Model Context Protocol (MCP). Guru is the AI-powered source of truth that organizes company information into verified cards. This MCP server enables you to retrieve knowledge cards, manage collections, and search your entire workspace directly through natural conversation.
The Vercel AI SDK gives every Guru tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
Key Features
- Knowledge Card Oversight — List all knowledge cards, fetch detailed structured content (extended metadata), and create or update cards instantly.
- Collection Management — Access and list high-level enterprise groupings (collections) to understand how your knowledge is organized.
- AI-Powered Search — Execute powerful searches across all enterprise knowledge silos to isolate answers and verify facts.
- Board Discovery — Access board structures that pin collections for specific department or project discovery.
- Security & Access Control — List user groups and workspace members to verify knowledge permissions and authorized scopes.
- Verification Tracking — Monitor the verification state of your cards to ensure your AI assistant is always using the source of truth.
- Real-time Synchronization — Keep your company's collective intelligence accessible to your AI assistant without leaving your primary workspace.
The Guru MCP Server exposes 12 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 Guru to Vercel AI SDK via MCP
Follow these steps to integrate the Guru 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 12 tools from Guru and passes them to the LLM
Why Use Vercel AI SDK with the Guru MCP Server
Vercel AI SDK provides unique advantages when paired with Guru 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 Guru integration everywhere
Built-in streaming UI primitives let you display Guru 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
Guru + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Guru MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Guru in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Guru tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Guru capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Guru through natural language queries
Guru MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Guru to Vercel AI SDK via MCP:
create_knowledge_card
Create new card
delete_knowledge_card
Remove a card
get_card_details
Get card content
get_collection_details
Get collection metadata
list_access_groups
List user groups
list_knowledge_boards
List boards
list_knowledge_cards
List knowledge cards
list_knowledge_collections
List all collections
list_workspace_members
List team members
search_knowledge_base
Search all cards
update_knowledge_card
Modify a card
verify_api_connection
Check connection
Example Prompts for Guru in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Guru immediately.
"Search my Guru wiki for 'Remote Work Policy'."
"List all my knowledge collections in Guru."
"Create a new knowledge card: 'How to setup MCP' in the 'Engineering' collection."
Troubleshooting Guru MCP Server with Vercel AI SDK
Common issues when connecting Guru to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGuru + Vercel AI SDK FAQ
Common questions about integrating Guru 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 Guru 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 Guru to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.