Glean MCP Server for Mastra AIGive Mastra AI instant access to 12 tools to Autocomplete, Bulk Index Documents, Chat, and more
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Glean through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this App Connector for Mastra AI
The Glean app connector for Mastra AI 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 { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"glean-alternative": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Glean Agent",
instructions:
"You help users interact with Glean " +
"using 12 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Glean?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Glean tool infrastructure. Connect 12 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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- Document Management — Index new documents, bulk-index batches, retrieve document metadata, and remove outdated content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 Mastra AI 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 Mastra AI
When Mastra AI 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 Mastra AI via MCP
Follow these steps to wire Glean into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the Glean MCP Server
Mastra AI provides unique advantages when paired with Glean through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Glean without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Glean tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Glean + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Glean MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Glean, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Glean as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Glean on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Glean tools alongside other MCP servers
Example Prompts for Glean in Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Glean to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpGlean + Mastra AI FAQ
Common questions about integrating Glean MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.