Salesforce Admin & Metadata MCP Server for Pydantic AI 8 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Salesforce Admin & Metadata 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 Admin & Metadata "
"(8 tools)."
),
)
result = await agent.run(
"What tools are available in Salesforce Admin & Metadata?"
)
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 Admin & Metadata MCP Server
The Salesforce Admin toolkit for AI agents.
Pydantic AI validates every Salesforce Admin & Metadata tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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
- Users — List and search active users with profiles and roles
- Objects — List all objects, describe schemas with field details
- Limits — Monitor API calls, storage, and rate limits
- Metadata — Search Apex classes, triggers, flows via Tooling API
- Apex — Execute anonymous Apex code
- Profiles — List security profiles
The Salesforce Admin & Metadata MCP Server exposes 8 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 Admin & Metadata to Pydantic AI via MCP
Follow these steps to integrate the Salesforce Admin & Metadata 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 8 tools from Salesforce Admin & Metadata with type-safe schemas
Why Use Pydantic AI with the Salesforce Admin & Metadata MCP Server
Pydantic AI provides unique advantages when paired with Salesforce Admin & Metadata 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 Admin & Metadata 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 Admin & Metadata connection logic from agent behavior for testable, maintainable code
Salesforce Admin & Metadata + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Salesforce Admin & Metadata MCP Server delivers measurable value.
Type-safe data pipelines: query Salesforce Admin & Metadata with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Salesforce Admin & Metadata tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Salesforce Admin & Metadata and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Salesforce Admin & Metadata responses and write comprehensive agent tests
Salesforce Admin & Metadata MCP Tools for Pydantic AI (8)
These 8 tools become available when you connect Salesforce Admin & Metadata to Pydantic AI via MCP:
sf_describe_object
Returns every field with: API name, label, data type (string/number/date/reference/picklist/boolean), whether required or nullable, max length, reference target objects (for lookups), and picklist values (for picklist fields). Essential for understanding the data model before creating or querying records. Use when the user asks "what fields does Account have?" or needs to know valid picklist values. Describe the full schema of a Salesforce object — all fields, data types, relationships, picklist values, and validation rules
sf_execute_apex
Returns compilation success/failure, execution result, and debug logs. Use for admin tasks (data cleanup, batch operations), testing hypotheses, or running one-off scripts. CAUTION: this executes real code on the org — can modify data. Example: System.debug('Hello World'); Execute anonymous Apex code on the Salesforce org for admin tasks, data fixes, testing, or one-off operations
sf_list_objects
Returns all objects with their API name, label, whether they are queryable, createable, and custom. Includes standard objects (Account, Contact, Lead, Opportunity, Case), custom objects (ending in __c), and managed package objects. Essential for data model discovery: "what objects are available?", "do we have a custom invoices object?" List all queryable and createable objects in the Salesforce org — standard, custom, and managed package objects
sf_list_profiles
Returns profile name, description, user type, and license type. Profiles control what users can see and do in Salesforce — they define object permissions, field-level security, and page layouts. Use when the user asks about permissions, needs to audit access levels, or wants to understand the security model. List Salesforce profiles (permission sets) with name, description, and user type for access control auditing
sf_list_users
Returns user name, email, profile name, role name, user type (Standard/Chatter/etc.), and last login date. Use when the user asks about team members, needs user IDs for record assignment, wants to audit active accounts, or check last login dates for license management. List active Salesforce users with their profile, role, email, user type, and last login date for team management
sf_org_limits
Returns current usage vs. maximum for: daily API calls, data storage, file storage, SOQL queries, DML operations, email invocations, and more. Flags any limits below 10% remaining. Use for capacity monitoring, API governance, or when the user asks about org health and limit consumption. Get API and storage usage limits for the Salesforce org — current consumption vs. maximum for API calls, storage, and more
sf_search_metadata
Supported objects: ApexClass, ApexTrigger, CustomField, ValidationRule, Flow, FlowDefinition, CustomObject, etc. Example: SELECT Id, Name, Body FROM ApexClass WHERE Name LIKE '%Account%'. Use when the user asks about code, automations, custom fields, or configuration metadata in the org. Search Salesforce metadata via the Tooling API — find Apex classes, triggers, custom fields, validation rules, flows, and more
sf_search_users
Returns user name, email, username, profile, role, and login info. Use to find a specific person in the org, look up who owns a record, or get user IDs for API operations. Search Salesforce users by name, email, or username to find specific team members or administrators
Example Prompts for Salesforce Admin & Metadata in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Salesforce Admin & Metadata immediately.
"Describe the Opportunity object schema"
"Check our API limits"
"List all Apex classes containing Account"
Troubleshooting Salesforce Admin & Metadata MCP Server with Pydantic AI
Common issues when connecting Salesforce Admin & Metadata to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiSalesforce Admin & Metadata + Pydantic AI FAQ
Common questions about integrating Salesforce Admin & Metadata 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?
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Microsoft's framework for multi-agent collaborative conversations.
Connect Salesforce Admin & Metadata to Pydantic AI
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.