CONSENSUS MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 6 tools to Get Demoboard, List Demoboards, List Demolytics, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect CONSENSUS through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The CONSENSUS app connector for OpenAI Agents SDK is a standout in the Marketing Automation category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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="CONSENSUS Assistant",
instructions=(
"You help users interact with CONSENSUS. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from CONSENSUS"
)
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 CONSENSUS MCP Server
Connect your Consensus account to any AI agent and take full control of your interactive video demo and buyer intelligence workflows through natural conversation.
The OpenAI Agents SDK auto-discovers all 6 tools from CONSENSUS through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries CONSENSUS, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- DemoBoard Orchestration — List and manage your active DemoBoards programmatically, retrieving detailed metadata about leads and stakeholder engagement
- Demolytics Intelligence — Access real-time analytics to understand which sections of your automated demos are being watched, skipped, or shared by prospects
- Invitation Tracking — Programmatically monitor sent demo invitations and track outreach performance to coordinate perfectly timed sales follow-ups
- Asset Discovery — Retrieve a complete directory of all available interactive demos and assets in your library to maintain high-fidelity sales enablement
- Team Visibility — Access directories of account users and roles to maintain an organized sales team structure and permission oversight
The CONSENSUS MCP Server exposes 6 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 6 CONSENSUS tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to CONSENSUS through Vinkius, your AI agent gets direct access to every tool listed below — spanning demo-automation, buyer-intent, interactive-video, 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.
Get DemoBoard details
List all DemoBoards
List analytics for demos
List all available demos
List sent demo invitations
List all account users
Connect CONSENSUS to OpenAI Agents SDK via MCP
Follow these steps to wire CONSENSUS into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the CONSENSUS MCP Server
OpenAI Agents SDK provides unique advantages when paired with CONSENSUS 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
CONSENSUS + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the CONSENSUS MCP Server delivers measurable value.
Automated workflows: build agents that query CONSENSUS, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries CONSENSUS, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through CONSENSUS tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query CONSENSUS to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for CONSENSUS in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with CONSENSUS immediately.
"List all my active DemoBoards in Consensus."
"Show me the Demolytics summary for my latest demo."
"List all members of my sales team and their roles."
Troubleshooting CONSENSUS MCP Server with OpenAI Agents SDK
Common issues when connecting CONSENSUS to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
CONSENSUS + OpenAI Agents SDK FAQ
Common questions about integrating CONSENSUS 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.