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Salesforce MCP Server

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Python

Salesforce MCP Server

Salesforce Mcp Server

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A highly customizable Model Context Protocol (MCP) server for integrating Salesforce APIs with GenAI applications.

Features

  • Comprehensive Salesforce API Coverage:

    • SOQL queries with automatic pagination support

    • SOSL (Salesforce Object Search Language) searches

    • Record CRUD operations (Create, Read, Update, Delete)

    • Metadata API access for object descriptions

    • Bulk API operations for large data volumes

    • Apex code execution capabilities

    • Reports API with filtering support

    • Organization limits and API usage monitoring

  • Flexible Authentication:

    • OAuth 2.0 Web Server Flow

    • OAuth 2.0 JWT Bearer Flow

    • Username-Password Flow

    • Connected App support

  • Enterprise-Ready:

    • Multi-org support

    • Rate limiting and retry logic

    • Comprehensive error handling

    • Audit logging

    • Field-level security respect

Related MCP server: MCP Salesforce Connector

Installation

pip install salesforce-mcp-server

Or install from source:

git clone https://github.com/asklokesh/salesforce-mcp-server.git
cd salesforce-mcp-server
pip install -e .

Configuration

Create a .env file or set environment variables:

# Salesforce Credentials
SALESFORCE_USERNAME=your_username@company.com
SALESFORCE_PASSWORD=your_password
SALESFORCE_SECURITY_TOKEN=your_security_token
SALESFORCE_DOMAIN=login  # or test, or your custom domain

# OR use OAuth
SALESFORCE_CLIENT_ID=your_connected_app_client_id
SALESFORCE_CLIENT_SECRET=your_connected_app_client_secret
SALESFORCE_REDIRECT_URI=http://localhost:8080/callback

# Optional Settings
SALESFORCE_API_VERSION=59.0
SALESFORCE_SANDBOX=false
SALESFORCE_MAX_RETRIES=3
SALESFORCE_TIMEOUT=30

Requirements

  • Python 3.10 or newer

  • MCP SDK 1.27+

Quick Start

Run the server

The server is built on the MCP Python SDK's FastMCP API and speaks the stdio transport. Install the package, configure credentials via environment variables (see Configuration), and launch with:

salesforce-mcp
# or equivalently
python -m salesforce_mcp.server

Programmatic usage

from salesforce_mcp import mcp

# `mcp` is a configured `FastMCP` instance with every Salesforce tool
# already registered. Run it over stdio:
if __name__ == "__main__":
    mcp.run(transport="stdio")

Claude Desktop Configuration

Add to your Claude Desktop config:

{
  "mcpServers": {
    "salesforce": {
      "command": "salesforce-mcp",
      "env": {
        "SALESFORCE_USERNAME": "your_username@company.com",
        "SALESFORCE_PASSWORD": "your_password",
        "SALESFORCE_SECURITY_TOKEN": "your_security_token"
      }
    }
  }
}

Available Tools

1. Query Records

Execute SOQL queries to retrieve data:

{
  "tool": "salesforce_query",
  "arguments": {
    "query": "SELECT Id, Name, Email FROM Contact WHERE LastModifiedDate = TODAY",
    "include_deleted": false
  }
}

2. Get Record

Retrieve a specific record by ID:

{
  "tool": "salesforce_get_record",
  "arguments": {
    "object_type": "Account",
    "record_id": "001XX000003DHPh",
    "fields": ["Name", "Industry", "AnnualRevenue"]
  }
}

3. Create Record

Create new records:

{
  "tool": "salesforce_create_record",
  "arguments": {
    "object_type": "Contact",
    "data": {
      "FirstName": "John",
      "LastName": "Doe",
      "Email": "john.doe@example.com",
      "AccountId": "001XX000003DHPh"
    }
  }
}

4. Update Record

Update existing records:

{
  "tool": "salesforce_update_record",
  "arguments": {
    "object_type": "Contact",
    "record_id": "003XX000004TMM2",
    "data": {
      "Title": "Senior Developer",
      "Department": "Engineering"
    }
  }
}

5. Delete Record

Delete records:

{
  "tool": "salesforce_delete_record",
  "arguments": {
    "object_type": "Contact",
    "record_id": "003XX000004TMM2"
  }
}

6. Describe Object

Get metadata about Salesforce objects:

{
  "tool": "salesforce_describe_object",
  "arguments": {
    "object_type": "Account"
  }
}

7. Bulk Operations

Handle large data volumes:

{
  "tool": "salesforce_bulk_create",
  "arguments": {
    "object_type": "Contact",
    "records": [
      {"FirstName": "Jane", "LastName": "Smith", "Email": "jane@example.com"},
      {"FirstName": "Bob", "LastName": "Johnson", "Email": "bob@example.com"}
    ],
    "batch_size": 200
  }
}

8. Execute Apex

Run Apex code:

{
  "tool": "salesforce_execute_apex",
  "arguments": {
    "apex_body": "System.debug('Hello from Apex!');"
  }
}

9. Search Records (SOSL)

Search across multiple objects:

{
  "tool": "salesforce_search",
  "arguments": {
    "search_query": "FIND {John} IN NAME FIELDS RETURNING Contact(Id, Name, Email), Account(Id, Name)"
  }
}

10. Query Pagination

Handle large query results:

{
  "tool": "salesforce_query_more",
  "arguments": {
    "next_records_url": "/services/data/v59.0/query/01gxx000000002ABC-2000"
  }
}

11. Organization Limits

Get API limits and usage:

{
  "tool": "salesforce_limits",
  "arguments": {}
}

12. Run Reports

Execute Salesforce reports:

{
  "tool": "salesforce_run_report",
  "arguments": {
    "report_id": "00O1i000004Gzr0EAC",
    "filters": {
      "reportMetadata": {
        "reportFilters": [
          {
            "column": "CREATED_DATE",
            "operator": "greaterThan",
            "value": "2023-01-01"
          }
        ]
      }
    }
  }
}

Advanced Configuration

Multi-Org Support

Additional orgs are configured by setting prefixed environment variables. For example, to expose a sandbox org alongside the default:

SALESFORCE_USERNAME=prod@company.com
SALESFORCE_PASSWORD=prod_password
SALESFORCE_SECURITY_TOKEN=prod_token

SALESFORCE_SANDBOX_USERNAME=sandbox@company.com.sandbox
SALESFORCE_SANDBOX_PASSWORD=sandbox_password
SALESFORCE_SANDBOX_SECURITY_TOKEN=sandbox_token
SALESFORCE_SANDBOX_DOMAIN=test

Every tool accepts an optional org argument; omitting it targets the default org defined by SALESFORCE_DEFAULT_ORG (defaulting to "default").

Authentication classes

The salesforce_mcp.auth module exposes UsernamePasswordAuth, OAuth2Auth, and JWTAuth for use when embedding the underlying SalesforceClient in your own code:

from salesforce_mcp import JWTAuth, SalesforceClient

auth = JWTAuth(
    client_id="your_client_id",
    username="your_username",
    private_key_file="path/to/private_key.pem",
    sandbox=False,
)
client = SalesforceClient(auth=auth)

Rate Limiting

Rate limiting is enabled by default and tuned via environment variables:

SALESFORCE_RATE_LIMIT_ENABLED=true
SALESFORCE_RATE_LIMIT_REQUESTS_PER_SECOND=10
SALESFORCE_RATE_LIMIT_BURST_SIZE=20

Integration Examples

See the examples/ directory for complete integration examples:

  • basic_usage.py - Simple queries and CRUD operations

  • bulk_operations.py - Handling large data volumes

  • genai_integration.py - Integration with GenAI APIs

  • multi_org.py - Managing multiple Salesforce orgs

  • oauth_flow.py - OAuth authentication setup

Error Handling

The server provides detailed error information:

try:
    result = server.execute_tool("salesforce_query", {
        "query": "SELECT InvalidField FROM Account"
    })
except SalesforceError as e:
    print(f"Salesforce error: {e.error_code} - {e.message}")
    print(f"Fields available: {e.available_fields}")

Security Best Practices

  1. Never commit credentials - Use environment variables or secure vaults

  2. Use OAuth when possible - More secure than username/password

  3. Implement field-level security - Respect Salesforce permissions

  4. Enable audit logging - Track all API operations

  5. Use IP restrictions - Limit access to known IP ranges

Contributing

Contributions are welcome! Please read our contributing guidelines and submit pull requests.

License

MIT License - see LICENSE file for details

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