Salesforce Sales Cloud MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Salesforce Sales Cloud through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Salesforce Sales Cloud "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Salesforce Sales Cloud?"
)
print(result.data)
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 Sales Cloud MCP Server
Connect Salesforce Sales Cloud to any AI agent — instant access to your CRM data without switching tabs.
Pydantic AI validates every Salesforce Sales Cloud tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Leads — Search, create, update, and qualify leads by name, email, or company
- Opportunities — Track deals, update stages, amounts, and close dates
- Accounts — Look up company details including revenue, industry, and employees
- Contacts — Find contacts by name or email with account associations
- Activities — Log calls, meetings, and emails as Tasks linked to records
- Pipeline — Get an instant summary of your open pipeline by stage
The Salesforce Sales Cloud MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI 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 Sales Cloud to Pydantic AI via MCP
Follow these steps to integrate the Salesforce Sales Cloud MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Salesforce Sales Cloud with type-safe schemas
Why Use Pydantic AI with the Salesforce Sales Cloud MCP Server
Pydantic AI provides unique advantages when paired with Salesforce Sales Cloud through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Salesforce Sales Cloud integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Salesforce Sales Cloud connection logic from agent behavior for testable, maintainable code
Salesforce Sales Cloud + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Salesforce Sales Cloud MCP Server delivers measurable value.
Type-safe data pipelines: query Salesforce Sales Cloud with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Salesforce Sales Cloud tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Salesforce Sales Cloud and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Salesforce Sales Cloud responses and write comprehensive agent tests
Salesforce Sales Cloud MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Salesforce Sales Cloud to Pydantic AI via MCP:
sf_create_lead
lastName and company are required fields in Salesforce. Status defaults to "Open - Not Contacted". Once qualified, leads can be converted to Contact + Account + Opportunity in the Salesforce UI. Returns the created lead with its 18-character Salesforce ID. Create a new lead in Salesforce Sales Cloud with name, company, email, phone, title, and initial status
sf_log_activity
Link to a person via whoId (Contact or Lead ID) and/or to a record via whatId (Account or Opportunity ID). Status defaults to "Completed". Priority: High, Normal, Low. Use to log completed calls, meetings, or emails for activity tracking and reporting. Log a call, meeting, or email as a completed Task in Salesforce linked to a contact, lead, account, or opportunity
sf_opportunities_by_stage
Returns deals sorted by amount descending. Standard stages: Prospecting, Qualification, Needs Analysis, Value Proposition, Id. Decision Makers, Perception Analysis, Proposal/Price Quote, Negotiation/Review, Closed Won, Closed Lost. Use for questions like "what deals are in Negotiation?" or "total value of Closed Won this quarter." Get all Salesforce opportunities at a specific pipeline stage for bottleneck analysis, forecasting, or stage review
sf_pipeline_summary
Returns the number of deals and total monetary value at each stage. Perfect for pipeline health checks, forecasting conversations, and identifying bottleneck stages. Use when the user asks "how is the pipeline?", "what is our total pipeline value?", or "which stage has the most deals?" Get an aggregate snapshot of the open sales pipeline — deal count and total value per stage for a quick health check
sf_search_accounts
Returns account name, industry, annual revenue, number of employees, phone, website, billing city/state/country, and owner. Accounts are the company-level records that contacts and opportunities are linked to. Use when the user asks about a company or needs account-level data. Search Salesforce accounts (companies) by name to find organizations with industry, revenue, employee count, and location
sf_search_contacts
Returns contact name, email, phone, account name, title, department, and mailing address. Contacts are qualified individuals linked to accounts — different from leads (unqualified prospects). Use when the user asks about a specific customer contact. Search Salesforce contacts by name or email to find people at customer accounts with title, department, and phone
sf_search_leads
Returns lead name, company, email, phone, title, status (e.g., Open - Not Contacted, Working, Closed - Converted), rating (Hot/Warm/Cold), lead source, and assigned owner. Use when the user wants to find a specific prospect, check lead status, or review unqualified pipeline. Search Salesforce leads by name, email, or company to find prospective customers in the sales pipeline
sf_search_opportunities
Returns opportunity name, stage (Prospecting/Qualification/Needs Analysis/Value Proposition/Id. Decision Makers/Perception Analysis/Proposal/Negotiation/Closed Won/Closed Lost), amount, close date, probability percentage, and assigned owner. Use for pipeline review, deal lookup, or forecasting queries. Search Salesforce opportunities by name to find deals with stage, amount, probability, close date, and owner
sf_update_lead
Only specified fields are updated. Common operations: change Status to "Working" or "Closed - Converted", set Rating to Hot/Warm/Cold for prioritization, or update contact details. Requires the 18-character Salesforce ID. Update an existing Salesforce lead — change status, rating, contact info, or other fields to reflect qualification progress
sf_update_opportunity
Common operations: advance StageName when deal progresses, update Amount after negotiation, push CloseDate when timeline shifts, set StageName to "Closed Won"/"Closed Lost" to close. Only specified fields change. Update a Salesforce opportunity — advance stage, change amount, update close date, or add notes to reflect deal progress
Example Prompts for Salesforce Sales Cloud in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Salesforce Sales Cloud immediately.
"Show me all hot leads from this week"
"What does my pipeline look like right now?"
"Create a new lead: John Smith from Acme Corp, john@acme.com"
Troubleshooting Salesforce Sales Cloud MCP Server with Pydantic AI
Common issues when connecting Salesforce Sales Cloud to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiSalesforce Sales Cloud + Pydantic AI FAQ
Common questions about integrating Salesforce Sales Cloud MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Salesforce Sales Cloud with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 Sales Cloud to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.