Glean MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Autocomplete, Bulk Index Documents, Chat, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Glean 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 App Connector for Vercel AI SDK
The Glean app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Glean, 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 Glean MCP Server
Connect your Glean workspace to any AI agent and unlock enterprise knowledge through natural conversation.
The Vercel AI SDK gives every Glean 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.
What you can do
- Universal Search — Search across all connected data sources (Confluence, Slack, Google Drive, Jira, and more) from a single query
- Datasource Filtering — Focus searches on a specific connected platform for targeted results
- People Search — Find employees by name, role, expertise, or department across your organization
- Document Management — Index new documents, bulk-index batches, retrieve document metadata, and remove outdated content
- Curated Collections — Browse and inspect curated content collections for onboarding, policies, and shared knowledge
- AI Chat — Ask questions to Glean's AI assistant, which generates answers grounded in your organization's knowledge base
- Autocomplete — Get intelligent search suggestions based on organizational knowledge as you type
The Glean 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.
All 12 Glean tools available for Vercel AI SDK
When Vercel AI SDK connects to Glean through Vinkius, your AI agent gets direct access to every tool listed below — spanning enterprise-search, unified-search, people-discovery, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Autocomplete suggestions
Bulk index documents
AI chat
Verify connectivity
Delete a document
Get collection details
Get document details
Index a document
List collections
Search across all content
g., Confluence, Slack, Google Drive). Search in specific datasource
Search people
Connect Glean to Vercel AI SDK via MCP
Follow these steps to wire Glean into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Glean MCP Server
Vercel AI SDK provides unique advantages when paired with Glean 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 Glean integration everywhere
Built-in streaming UI primitives let you display Glean 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
Glean + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Glean MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Glean in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Glean tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Glean capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Glean through natural language queries
Example Prompts for Glean in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Glean immediately.
"Search for our deployment runbook and the on-call rotation schedule."
"Ask the AI assistant: What is our company's refund policy for enterprise customers?"
"Find the engineering lead for the payments team and search Slack for recent discussions about PCI compliance."
Troubleshooting Glean MCP Server with Vercel AI SDK
Common issues when connecting Glean to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGlean + Vercel AI SDK FAQ
Common questions about integrating Glean 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.