Salesforce Basic MCP Server

Salesforce Basic MCP Server

Enables AI assistants to query Salesforce data including retrieving accounts by ID, searching accounts by name, and fetching recent opportunities through authenticated API access.

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README

Salesforce Basic MCP Server

A simple Model Context Protocol (MCP) server that provides AI assistants with tools to query Salesforce data.

Features

  • ✅ Get Account by ID
  • ✅ Search Accounts by name
  • ✅ Get recent Opportunities

Setup

1. Install Dependencies

# Install uv (if not already installed)
curl -LsSf https://astral.sh/uv/install. sh | sh

# Create and activate virtual environment
uv venv
source .venv/bin/activate  # Mac/Linux
# OR
. venv\Scripts\activate     # Windows

# Install dependencies
uv add "mcp[cli]" simple-salesforce python-dotenv

2. Configure Salesforce Credentials

Create a .env file in the project root:

SF_USERNAME=your@salesforce.email.com
SF_PASSWORD=yourpassword
SF_SECURITY_TOKEN=yoursecuritytoken
SF_DOMAIN=login  # or 'test' for sandbox

How to get your Security Token:

  1. Log into Salesforce
  2. Click your profile icon → Settings
  3. On the left sidebar: Personal → Reset My Security Token
  4. Check your email for the token

3. Run the Server

python server.py

4. Test with MCP Inspector

npx @modelcontextprotocol/inspector python server.py

Available Tools

get_account

Get a Salesforce Account by ID.

Parameters:

  • account_id (string): The Salesforce Account ID

Example:

{
  "account_id": "001XXXXXXXXXXXXXXX"
}

search_accounts

Search for Accounts by name.

Parameters:

  • name (string): The account name to search for

Example:

{
  "name": "Acme"
}

get_recent_opportunities

Get the most recent Opportunities.

Parameters:

  • limit (integer, optional): Number to return (default: 5, max: 20)

Example:

{
  "limit": 10
}

Connect to Claude Desktop

Add to your Claude Desktop config file:

Mac: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config. json

{
  "mcpServers": {
    "salesforce-basic": {
      "command": "python",
      "args": ["/absolute/path/to/salesforce-mcp-basic/server.py"],
      "env": {
        "SF_USERNAME": "your@email.com",
        "SF_PASSWORD": "yourpassword",
        "SF_SECURITY_TOKEN": "yourtoken",
        "SF_DOMAIN": "login"
      }
    }
  }
}

Security Notes

⚠️ Never commit .env to git!

  • The .gitignore file is configured to exclude it
  • Use environment variables in production

Troubleshooting

"Authentication Failed"

  • Double-check username, password, and security token
  • Verify your IP is not blocked in Salesforce
  • For sandboxes, use SF_DOMAIN=test

"Module not found"

  • Make sure virtual environment is activated
  • Run uv add "mcp[cli]" simple-salesforce python-dotenv

Next Steps

  • Add more Salesforce objects (Contacts, Cases, etc.)
  • Implement create/update operations
  • Add error logging
  • Add data validation

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