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OpenAI Agents SDK
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How to Install Salesforce MCP in OpenAI Agents SDK

Official Salesforce integration — CRM records, leads, opportunities, and Einstein AI via your agent

What Salesforce MCP does

The official Salesforce MCP server (launched as part of Anthropic's January 2026 MCP Apps) gives AI agents access to your entire Salesforce CRM. Manage deals, leads, contacts, and Einstein AI insights through natural language. Features: - Search and retrieve any Salesforce object (Accounts, Contacts, Opportunities, Cases) - Create and update records across standard and custom objects - Run SOQL queries for complex data retrieval - Access Einstein AI insights and predictions - Manage pipeline and forecast categories - View activity history and emails - Handle approvals and workflow actions - Access reports and dashboard data - Manage leads and conversion workflows One of the launch partners for Anthropic's MCP Apps — renders interactive CRM dashboards directly inside Claude's chat window. OAuth-authenticated with granular Salesforce permission sets. Works with Salesforce Enterprise, Unlimited, and Developer editions.

salesforce
crm
sales
enterprise
leads

Installation steps

  1. 1Install: pip install openai-agents
  2. 2Copy the snippet below into your agent code
  3. 3Replace placeholder env values with your real keys
  4. 4Pass mcp_servers=[mcp_server] to your Agent()

Python snippet

Python snippetpython
from agents import Agent
from agents.mcp import MCPServerStdio

mcp_server = MCPServerStdio(
    command="npx",
    args=["-y", "@salesforce/mcp"],
    env={
        "SALESFORCE_CLIENT_ID": "your_client_id",
        "SALESFORCE_CLIENT_SECRET": "your_secret",
        "SALESFORCE_INSTANCE_URL": "https://yourorg.salesforce.com",
    },
)

agent = Agent(
    name="My Agent",
    model="gpt-4o",
    mcp_servers=[mcp_server],
)
Full server details Open Config Editor

Install in other clients

For maintainers

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