How to Use the Glean MCP in OpenAI Agents SDK

Connect your OpenAI Agents SDK to Glean for instant access to your enterprise data and AI-driven answers.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect Glean MCP to OpenAI Agents SDK

Create your Vinkius account to connect Glean to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Glean with OpenAI Agents SDK

Ask AI about this MCP

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Claude

Perplexity

Search and index with OpenAI Agents SDK

Use `search_docs` to pull specific snippets from your documentation directly into your agent's memory. This lets your system reference live internal data without manual syncs. You can also use `index_document` to push new content into the Glean platform. It ensures your agent always works with the latest records.

Get direct answers via MCP Server

Call `get_answer` when your agent needs a synthesized response based on your company's knowledge base. It cuts through the noise of raw search results. This MCP Server provides the context your agent requires to handle complex queries. You get precise answers backed by your internal data sources.

Manage your enterprise data

Use `delete_document` to prune outdated information from your index. It keeps your search results clean and relevant for your agent. `search_people` helps your agent identify the right subject matter experts within your org. It maps internal contacts to the specific tasks your agent is executing.

Setup guide

Set up Glean MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Glean tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Glean tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Glean tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Glean Agent",
            instructions="You have access to Glean tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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Common questions about Glean MCP in OpenAI Agents SDK

Glean feeds structured enterprise data into your agent's context window. This prevents your OpenAI Agents SDK from relying on outdated or incomplete info.

Yes. Each result is tied to your internal sources, so your agent cites real docs. You don't have to guess where the data originated.

It does. You connect the server via HTTP, and your agent treats it like a native tool. It handles the heavy lifting of enterprise search automatically.

The server returns an empty set or a null response. You can build logic in your agent to handle these gaps gracefully.

The server transmits your document metadata over an encrypted pipe. It never stores your raw file content on external servers.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

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