2,500+ MCP servers ready to use
Vinkius

Glean MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Glean through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Glean Assistant",
            instructions=(
                "You help users interact with Glean. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Glean"
        )
        print(result.final_output)

asyncio.run(main())
Glean
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 enterprise account to any AI agent and take full control of your corporate-wide knowledge discovery and AI-powered workspace through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Glean through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Glean, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Corporate Discovery Orchestration — Identify bounded CRM records and extract explicitly attached REST arrays targeting /search to find knowledge mapped across all SaaS applications natively
  • Live AI Answer Retrieval — Enumerate explicitly attached structured rules to fire RAG mechanisms, returning pure AI-generated blocks distilled from your company data limitlessly
  • Multi-Source Filtering — Perform structural extraction of properties by hardcoding explicit filters parsing only specific datasources like Jira, Confluence, or Slack nodes synchronousy
  • People & Identity Discovery — Retrieve corporate active directory information, matching user skills, roles, and names directly to generate hard customer bindings natively
  • Intelligent Chat Orchestration — Commands explicit REST targets checking /chat to manage ongoing text streams while maintaining historical thread mapping for complex reasoning
  • Knowledge Ingestion & Indexing — Upload massive custom text properties directly routing into corporate search logic to verify internal documentation boundaries securely
  • Predictive Autocomplete — Discovers disconnected physical limits executing /autocomplete to predict precise page destinations from partial prefixes flawlessly
  • Data Deletion Oversight — Explains explicitly mapped arrays checking /delete to remove indexed documents permanently and block future retrieval vectors

The Glean MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents 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 Glean to OpenAI Agents SDK via MCP

Follow these steps to integrate the Glean MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 10 tools from Glean

Why Use OpenAI Agents SDK with the Glean MCP Server

OpenAI Agents SDK provides unique advantages when paired with Glean through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Glean + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Glean MCP Server delivers measurable value.

01

Automated workflows: build agents that query Glean, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Glean, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Glean tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Glean to resolve tickets, look up records, and update statuses without human intervention

Glean MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Glean to OpenAI Agents SDK via MCP:

01

autocomplete

Retrieve explicit Cloud logging tracing explicit Vault limits

02

chat_completion

Dispatch an automated validation check routing explicit Gateway history

03

custom_request

` merging physical POST arrays strictly. Identify precise active arrays spanning native Hold parsing

04

delete_document

Inspect deep internal arrays mitigating specific Plan Math

05

get_answer

Enumerate explicitly attached structured rules exporting active Billing

06

get_suggestions

Irreversibly vaporize explicit validations extracting rich Churn flags

07

index_document

Identify precise active arrays spanning native Gateway auth

08

search_datasource

g. Perform structural extraction of properties driving active Account logic

09

search_docs

Identify bounded CRM records inside the Headless Glean Platform

10

search_people

Provision a highly-available JSON Payload generating hard Customer bindings

Example Prompts for Glean in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Glean immediately.

01

"Search for 'Q2 hiring plan' in all apps"

02

"Who knows about 'React Native' in my company?"

03

"Get AI answer for: 'What is our expense policy for business travel?'"

Troubleshooting Glean MCP Server with OpenAI Agents SDK

Common issues when connecting Glean to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Glean + OpenAI Agents SDK FAQ

Common questions about integrating Glean MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect Glean to OpenAI Agents SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.