Salesforce Marketing Cloud MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Salesforce Marketing Cloud through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Salesforce Marketing Cloud Assistant",
instructions=(
"You help users interact with Salesforce Marketing Cloud. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Salesforce Marketing Cloud"
)
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 Salesforce Marketing Cloud MCP Server
Connect Salesforce Marketing to any AI agent.
The OpenAI Agents SDK auto-discovers all 6 tools from Salesforce Marketing Cloud through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Salesforce Marketing Cloud, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Campaigns — Search, create, and filter by status
- Members — View and add leads/contacts to campaigns
- Performance — Aggregate metrics by campaign type
The Salesforce Marketing Cloud 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.
How to Connect Salesforce Marketing Cloud to OpenAI Agents SDK via MCP
Follow these steps to integrate the Salesforce Marketing Cloud MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 6 tools from Salesforce Marketing Cloud
Why Use OpenAI Agents SDK with the Salesforce Marketing Cloud MCP Server
OpenAI Agents SDK provides unique advantages when paired with Salesforce Marketing Cloud 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
Salesforce Marketing Cloud + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Salesforce Marketing Cloud MCP Server delivers measurable value.
Automated workflows: build agents that query Salesforce Marketing Cloud, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Salesforce Marketing Cloud, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Salesforce Marketing Cloud tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Salesforce Marketing Cloud to resolve tickets, look up records, and update statuses without human intervention
Salesforce Marketing Cloud MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect Salesforce Marketing Cloud to OpenAI Agents SDK via MCP:
sf_add_campaign_member
Provide campaignId and either contactId OR leadId (not both). Status defaults to "Sent" but can be set to "Responded", "Registered", etc. based on your campaign member statuses. Returns the created membership record. Add a lead or contact to a Salesforce marketing campaign for attribution tracking and engagement measurement
sf_campaign_members
Returns member name, type (Lead or Contact), status (Sent/Responded/etc.), and response date. Use to see who is in a campaign, track engagement, or analyze campaign reach. Essential for campaign ROI and attribution analysis. Get all leads and contacts enrolled in a specific Salesforce campaign with their membership status and response dates
sf_campaign_performance
Returns the number of campaigns, total leads generated, total conversions, total budgeted cost, and actual cost per campaign type. Provides an instant ROI overview across all marketing channels. Use for marketing dashboard, channel-level performance comparison, or budget allocation analysis. Get aggregate marketing campaign performance — campaign counts, total leads, conversions, and costs grouped by campaign type
sf_campaigns_by_status
Returns campaigns with lead/contact counts, budget, and conversion data. Use for questions like "which campaigns are currently running?" or "show completed campaigns with their results." Get Salesforce campaigns filtered by status — Planned, In Progress, Completed, or Aborted — with full metrics
sf_create_campaign
Name is required. Type: Email, Conference, Webinar, Trade Show, Public Relations, Advertisement, Banner Ads, Telemarketing. Status defaults to "Planned". Dates use YYYY-MM-DD. budgetedCost is the planned spend. Returns the created campaign with its Salesforce ID. Create a new marketing campaign in Salesforce with name, type, status, dates, description, and budget
sf_search_campaigns
Returns campaign name, status (Planned/In Progress/Completed/Aborted), type (Email/Conference/Webinar/Advertisement), start/end dates, number of leads generated, contacts converted, budgeted cost, and actual cost. Use when the user asks about marketing initiatives, campaign performance, or budget spend. Search Salesforce marketing campaigns by name to find initiatives with status, type, budget, and lead/contact conversion metrics
Example Prompts for Salesforce Marketing Cloud in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Salesforce Marketing Cloud immediately.
"What is the conversion rate of our Email campaigns?"
"Create a new webinar campaign for Q2 product launch"
"Show me all in-progress campaigns"
Troubleshooting Salesforce Marketing Cloud MCP Server with OpenAI Agents SDK
Common issues when connecting Salesforce Marketing Cloud to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Salesforce Marketing Cloud + OpenAI Agents SDK FAQ
Common questions about integrating Salesforce Marketing Cloud 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.Does the SDK support streaming responses?
Connect Salesforce Marketing Cloud with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Salesforce Marketing Cloud to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.