Can I test alternative AI models entirely within the terminal using the Glama integration?

Yes. Tools like `glama_get_gateway_models` list available OpenAI-compatible proxies, and `glama_run_gateway_chat` allows your Vinkius agent to run text completions outside itself natively.

Does the Glama server provide telemetry data back to the registry?

Yes. Active MCP usage events can be logged seamlessly applying the `glama_send_telemetry` tool in specific sequences to inform publishers about proxy executions.

Are private hosted instances queryable?

Yes. By executing `glama_get_hosted_instances`, your agent limits queries exclusively to private proxies explicitly belonging to your linked environment.

Glama MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: Glama
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 8 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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="Glama Assistant",
            instructions=(
                "You help users interact with Glama. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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Ed25519Audit chain

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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 Glama MCP Server

Empower your local Vinkius terminal intelligence with the Glama.ai infrastructure bridge. Rather than navigating generic web interfaces to find compatible model contexts, let your core logic intuitively search, index, and introspect external MCP servers on the fly. In addition, harness the power to query multiple standard LLM networks via the Glama API Gateway, consolidating all programmatic text completion requirements cleanly.

The OpenAI Agents SDK auto-discovers all 8 tools from Glama through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Glama, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

MCP Registry Scuba — Seamlessly query list_mcp_servers and get_mcp_server_info to find context protocols needed dynamically without interrupting deep-work focus states.
Gateway Proxies — List active LLM models navigating list_gateway_models and push semantic prompts via run_gateway_chat executing parallel logic chains outside local memory.
Matrix Attributes — Uncover standard classification strings with get_mcp_attributes assessing global MCP logic matrices.
Hosted Telemetry — Scan local instances routing get_hosted_instances and actively parse behavior metrics pushing logs through send_telemetry.

The Glama MCP Server exposes 8 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 Glama to OpenAI Agents SDK via MCP

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

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

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

Run the script

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

Explore tools

The agent will automatically discover 8 tools from Glama

Why Use OpenAI Agents SDK with the Glama MCP Server

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

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

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

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

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

Glama + OpenAI Agents SDK Use Cases

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

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

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

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

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

Glama MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect Glama to OpenAI Agents SDK via MCP:

glama_get_gateway_model_details

g. "anthropic/claude-3-5-sonnet") to fetch the specific configurations exposed by the Glama unified API proxy. Investigate granular attributes (prices, context window, parameters) of a specific proxied Gateway Model

glama_get_gateway_models

Audit the complete list of AI models supported natively by the Glama OpenAI-compatible gateway

glama_get_hosted_instances

Cannot access public instances natively from here. Fetch all Private Hosted MCP instances assigned to your specific Glama account

glama_get_mcp_attributes

List filtering attributes and semantic categorizations mapped within the Glama MCP Registry

glama_get_mcp_server_info

Requires its namespace and slug. Extract detailed parameters and installation instructions for a specific Glama MCP server

glama_list_mcp_servers

Capable of loose text matching to discover new agentic capabilities. Search and list MCP servers directly from the global Glama directory

glama_run_gateway_chat

Bifurcate an isolated conversational prompt using a specific model through the Glama proxy network

glama_send_telemetry

Can be triggered after your AI uses a specific external server. Report semantic usage execution metrics back to the Glama Telemetry backend

Example Prompts for Glama in OpenAI Agents SDK

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

"Find all MCP servers relating to CRM logic inside the registry, then let me know their basic descriptions."

"Are there smaller LLMs available on the Glama API gateway we can proxy text to quickly?"

"Report a successful telemetry execution map event back to Glama for the GitHub repo tool."

Troubleshooting Glama MCP Server with OpenAI Agents SDK

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

MCPServerStreamableHttp not found

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

Agent not calling tools

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

Glama + OpenAI Agents SDK FAQ

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

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.