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Range MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 11 tools to Create Update, Get Objective, Get Snippet, and more

Built by Vinkius GDPR 11 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Range app connector for OpenAI Agents SDK is a standout in the Industry Titans category — giving your AI agent 11 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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="Range Assistant",
            instructions=(
                "You help users interact with Range. "
                "You have access to 11 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())
Range
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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 Range MCP Server

Connect your Range.co account to any AI agent and take full control of your team communication and check-in orchestration through natural conversation. Range provides a premier platform for keeping remote and hybrid teams synchronized, and this integration allows you to retrieve team metadata, monitor check-in updates (snippets), and track organizational objectives directly from your chat interface.

The OpenAI Agents SDK auto-discovers all 11 tools from Range through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Range, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Check-in & Update Orchestration — List all managed updates and retrieve detailed metadata including snippet content programmatically.
  • Team & User Lifecycle Management — Access and monitor your workspace teams and retrieve detailed user profile metadata directly from the AI interface.
  • Objective & Goal Intelligence — Access organizational objectives to maintain a clear overview of team alignment and progress via natural language.
  • Activity & Snippet Control — Retrieve specific snippets and check-in details to stay informed about daily team accomplishments.
  • Operational Monitoring — Track system activity and manage workspace metadata using simple AI commands to ensure your team remains high-performing.

The Range MCP Server exposes 11 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.

All 11 Range tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Range through Vinkius, your AI agent gets direct access to every tool listed below — spanning async-check-ins, team-sync, objective-tracking, 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.

create_update

Post a new standup update

get_objective

Get details for a specific objective

get_snippet

Get details of a specific check-in snippet

get_team

Get details for a specific team

get_update

Get details of a specific update (check-in)

get_user

Get details for a specific team member

list_goals

List all team goals

list_objectives

List team objectives

list_teams

List all teams

list_updates

Can be filtered by target_id or for_user_id. List team check-ins (updates)

list_users

List all users in the organization

Connect Range to OpenAI Agents SDK via MCP

Follow these steps to wire Range into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 11 tools from Range

Why Use OpenAI Agents SDK with the Range MCP Server

OpenAI Agents SDK provides unique advantages when paired with Range 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

Range + OpenAI Agents SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Range in OpenAI Agents SDK

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

01

"List all teams in my Range workspace."

02

"Show me all team standup updates from today with their mood indicators and blockers."

03

"Show me the progress on all team objectives for this quarter with completion percentages."

Troubleshooting Range MCP Server with OpenAI Agents SDK

Common issues when connecting Range 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.

Range + OpenAI Agents SDK FAQ

Common questions about integrating Range 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.