Salesforce Analytics & SOQL 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 Analytics & SOQL 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 Analytics & SOQL Assistant",
instructions=(
"You help users interact with Salesforce Analytics & SOQL. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Salesforce Analytics & SOQL"
)
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 Analytics & SOQL MCP Server
The most powerful Salesforce integration — raw SOQL access to any data in your org.
The OpenAI Agents SDK auto-discovers all 6 tools from Salesforce Analytics & SOQL through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Salesforce Analytics & SOQL, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- SOQL — Run any query against standard or custom objects
- Reports — List and execute Salesforce reports
- Dashboards — View dashboard components and data
- Counts — Get record counts for any object
The Salesforce Analytics & SOQL 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 Analytics & SOQL to OpenAI Agents SDK via MCP
Follow these steps to integrate the Salesforce Analytics & SOQL 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 Analytics & SOQL
Why Use OpenAI Agents SDK with the Salesforce Analytics & SOQL MCP Server
OpenAI Agents SDK provides unique advantages when paired with Salesforce Analytics & SOQL 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 Analytics & SOQL + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Salesforce Analytics & SOQL MCP Server delivers measurable value.
Automated workflows: build agents that query Salesforce Analytics & SOQL, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Salesforce Analytics & SOQL, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Salesforce Analytics & SOQL tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Salesforce Analytics & SOQL to resolve tickets, look up records, and update statuses without human intervention
Salesforce Analytics & SOQL MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect Salesforce Analytics & SOQL to OpenAI Agents SDK via MCP:
sf_get_dashboard
Each component includes its type, header, data values, and the source report. Dashboards provide pre-built visual summaries. Get the dashboard ID from sf_list_dashboards. Use when the user asks "show me the sales dashboard" or wants a visual summary of specific metrics. Get all component data from a specific Salesforce dashboard — charts, metrics, and tables with their underlying data
sf_list_dashboards
Returns dashboard title, folder, last referenced date, and dashboard ID. Dashboards contain visual components (charts, tables, metrics) built from reports. Use to find dashboard IDs before fetching their component data with sf_get_dashboard. List available Salesforce dashboards with title, folder, and last referenced date to discover visualization assets
sf_list_reports
Returns report name, folder path, report format (Tabular/Summary/Matrix), last run date, and report ID. Use when the user asks about available reports, wants to find a specific one, or needs report IDs before running them with sf_run_report. List available Salesforce reports with name, folder, format, and last run date to discover reporting assets
sf_record_count
Returns the total number of records. Use for quick data volume checks: "how many leads do we have?", "total number of accounts", or capacity planning. Accepts any standard or custom object API name. Get the total record count for any Salesforce object — Account, Contact, Lead, Opportunity, Case, or any custom object
sf_run_report
Get the report ID from sf_list_reports first. This is the read-only equivalent of clicking "Run Report" in the Salesforce UI. Returns up to 2000 rows. Use when the user asks for specific report data or wants to extract insights from a saved report. Execute a specific Salesforce report by ID and return its full data — all rows, columns, and groupings
sf_run_soql
This is the most powerful and flexible tool — you can query any standard or custom object, apply filters, use aggregate functions, and join related objects. Example: SELECT Id, Name, Amount, StageName FROM Opportunity WHERE StageName = 'Closed Won' AND Amount > 10000 LIMIT 10. Use when no other tool covers the specific data need, or when the user requests a custom query. Execute a raw SOQL query against your Salesforce org to retrieve any data from standard or custom objects
Example Prompts for Salesforce Analytics & SOQL in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Salesforce Analytics & SOQL immediately.
"What was our total revenue closed this quarter?"
"Show me all reports in the Sales folder"
"How many accounts do we have by industry?"
Troubleshooting Salesforce Analytics & SOQL MCP Server with OpenAI Agents SDK
Common issues when connecting Salesforce Analytics & SOQL to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Salesforce Analytics & SOQL + OpenAI Agents SDK FAQ
Common questions about integrating Salesforce Analytics & SOQL 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 Analytics & SOQL 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 Analytics & SOQL to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.