How to Use the Salespanel MCP in OpenAI Agents SDK
Route Salespanel lead intelligence through strict guardrails using the OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Salespanel MCP to OpenAI Agents SDK
Create your Vinkius account to connect Salespanel to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Lead qualification workflows
Your agent needs to know who is browsing the pricing page. It calls `list_anonymous_visitors` to pull active sessions and `get_company` to identify the underlying accounts. You connect this MCP integration to enforce strict guardrails on this data. The framework blocks the agent from emailing leads until a human reviews the output.
Map visitor intent with this MCP Server
Salespanel categorizes your traffic into distinct buckets. Your agent uses `list_lead_segments` to find high-value cohorts, then runs `get_segment` to pull the exact criteria defining them. This data drives automated handoffs. One specialized agent handles enterprise accounts, while another takes the SMB traffic.
Deep engagement tracing
Stop guessing what prospects care about. The `list_activity_feeds` tool gives your agent a chronological log of every page view and email click. When a rep asks for a brief on a target account, the agent runs `list_engagement_events`. It formats a clean summary of recent actions directly in the OpenAI dashboard tracing logs.
Set up Salespanel MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Salespanel tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Salespanel tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Salespanel tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="Salespanel Agent",
instructions="You have access to Salespanel tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Salespanel. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
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Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Salespanel MCP in OpenAI Agents SDK
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