How to Use the Salesforce MCP in OpenAI Agents SDK
Plug your Salesforce data directly into OpenAI Agents SDK. Manage records and run queries with production-grade safety guardrails.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Salesforce MCP to OpenAI Agents SDK
Create your Vinkius account to connect Salesforce to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Direct CRM data manipulation for OpenAI Agents SDK
Stop manual data entry. Use `create_record` and `update_record` to push changes from your agent straight into your pipeline without leaving your Python environment. Your agent handles the heavy lifting while OpenAI Agents SDK keeps the process traceable. You get full visibility into every CRM interaction from your dashboard.
Complex querying for OpenAI Agents SDK agents
Run custom logic against your CRM using `soql_query`. It handles the syntax so your agent can focus on interpreting the results for your sales team. Need a quick list? Use `list_accounts` or `list_opportunities` to fetch current status. It’s faster than waiting for a UI refresh.
Report automation with OpenAI Agents SDK
Pull insights directly from existing reports. Call `list_reports` to see what is ready, then trigger `run_report` to get the raw output. Your agent processes these results in real-time. It turns static CRM data into actionable intelligence for your workflows.
Set up Salesforce 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 Salesforce tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Salesforce tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Salesforce 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="Salesforce Agent",
instructions="You have access to Salesforce 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 Salesforce. 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
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
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 Salesforce MCP in OpenAI Agents SDK
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