Salesforce Admin & Metadata MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Salesforce Admin & Metadata through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MultiServerMCPClient({
"salesforce-admin-metadata": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Salesforce Admin & Metadata, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Salesforce Admin & Metadata through native MCP adapters. Connect 8 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Salesforce Admin & Metadata MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 8 tools from Salesforce Admin & Metadata via MCP
Why Use LangChain with the Salesforce Admin & Metadata MCP Server
LangChain provides unique advantages when paired with Salesforce Admin & Metadata through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Salesforce Admin & Metadata MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Salesforce Admin & Metadata queries for multi-turn workflows
Salesforce Admin & Metadata + LangChain Use Cases
Practical scenarios where LangChain combined with the Salesforce Admin & Metadata MCP Server delivers measurable value.
RAG with live data: combine Salesforce Admin & Metadata tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Salesforce Admin & Metadata, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Salesforce Admin & Metadata tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Salesforce Admin & Metadata tool call, measure latency, and optimize your agent's performance
Salesforce Admin & Metadata MCP Tools for LangChain (8)
These 8 tools become available when you connect Salesforce Admin & Metadata to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Salesforce Admin & Metadata to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersSalesforce Admin & Metadata + LangChain FAQ
Common questions about integrating Salesforce Admin & Metadata MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Salesforce Admin & Metadata with your favorite client
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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 Admin & Metadata to LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.