Beamer MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Beamer through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Beamer Assistant",
instructions=(
"You help users interact with Beamer. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Beamer"
)
print(result.final_output)
asyncio.run(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 Beamer MCP Server
Connect your Beamer account to any AI agent and streamline your product communication and user engagement workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from Beamer through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Beamer, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Post Management — Create, list, update, and delete product update posts to keep your users informed.
- User Engagement — Monitor Beamer notifications and track how users interact with your updates.
- Analytics Insights — Retrieve real-time analytics data to understand the reach and impact of your announcements.
- Feedback Collection — List and inspect user feedback and reactions to your product changes.
- User Auditing — List managed users within your Beamer project for better oversight.
The Beamer 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 Beamer to OpenAI Agents SDK via MCP
Follow these steps to integrate the Beamer 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 10 tools from Beamer
Why Use OpenAI Agents SDK with the Beamer MCP Server
OpenAI Agents SDK provides unique advantages when paired with Beamer 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
Beamer + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Beamer MCP Server delivers measurable value.
Automated workflows: build agents that query Beamer, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Beamer, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Beamer tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Beamer to resolve tickets, look up records, and update statuses without human intervention
Beamer MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Beamer to OpenAI Agents SDK via MCP:
create_post
Create a new Beamer post
delete_post
Delete a Beamer post
get_analytics
Retrieve Beamer analytics data
get_feedback_details
Get details of specific feedback
get_post
Get details of a specific Beamer post
list_feedback
List customer feedback
list_notifications
List Beamer notifications
list_posts
List all Beamer posts
list_users
List Beamer users
update_post
Update an existing Beamer post
Example Prompts for Beamer in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Beamer immediately.
"List the last 5 posts published on Beamer."
"Create a new post titled 'Spring Update' with content 'We have improved performance by 20%.'"
"Show me the latest user feedback."
Troubleshooting Beamer MCP Server with OpenAI Agents SDK
Common issues when connecting Beamer to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Beamer + OpenAI Agents SDK FAQ
Common questions about integrating Beamer MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Beamer with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Beamer to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.