This Salesforce MCP Server provides standardized tools for interacting with Salesforce data and metadata through Claude Desktop and other MCP clients.
Key Capabilities:
Run SOQL queries - Execute queries and return structured JSON results with records and total size
List and describe Salesforce objects - Get all available SObjects in your organization and retrieve detailed field information including types, labels, nillable status, and picklist values
Manage Salesforce flows - List all flows with status/version information and retrieve complete XML metadata for specific flows
Access reports and dashboards - List all Salesforce reports and dashboards with their folder and usage information
Provides tools for querying Salesforce data using SOQL, listing all Salesforce objects in an org, and describing detailed field information for any Salesforce object through the sf CLI.
Salesforce MCP Server
This server provides MCP (Model Context Protocol) tools for interacting with Salesforce using the sf
CLI. It exposes Salesforce data and metadata through standardized MCP tools that can be used with Claude Desktop and other MCP clients.
Features
Query Tool (
salesforce_query
) - Run SOQL queries and return structured resultsList Objects (
salesforce_list_objects
) - Get all Salesforce object names in your orgDescribe Objects (
salesforce_describe
) - Get detailed field information for any Salesforce objectList Flows (
salesforce_list_flows
) - Get all Salesforce flows with status and version informationDescribe Flow (
salesforce_describe_flow
) - Get the complete XML metadata for a specific flowList Reports (
salesforce_list_reports
) - Get all Salesforce reports with folder and usage informationList Dashboards (
salesforce_list_dashboards
) - Get all Salesforce dashboards with folder and usage information
Prerequisites
Before running the configuration script, you must install these prerequisites:
macOS (this setup is optimized for macOS, but should work on Linux/Windows)
Python 3.11+ - Required for running the MCP server
Poetry - Python dependency management
Node.js - Required for Salesforce CLI
Salesforce CLI - Command line interface for Salesforce
Prerequisites Installation Guide
1. Python 3.11+
2. Poetry
3. Node.js
4. Salesforce CLI
Quick Prerequisites Check
Run these commands to verify all prerequisites are installed:
Installation
Quick Start (after installing prerequisites):
The configuration script will:
✅ Check all prerequisites are installed
📦 Install Python dependencies via Poetry
🔐 Authenticate with your Salesforce org (or select existing auth)
⚙️ Create
.env
configuration file🖥️ Update Claude Desktop configuration
Prerequisites must be installed first - see the Prerequisites section above.
Manual Setup (Alternative)
If you prefer to set up manually:
Install prerequisites (see Prerequisites section above)
Install Python dependencies:
poetry installAuthenticate with Salesforce:
sf org login webCreate with your Salesforce org details:
SF_INSTANCE_URL=https://your-org.my.salesforce.com SF_ACCESS_TOKEN=your-access-token SF_ORG_ALIAS=your-org-alias SF_USERNAME=your-usernameConfigure Claude Desktop by adding this to your
claude_desktop_config.json
:{ "mcpServers": { "sfmcp": { "command": "/path/to/your/sfmcp/run-mcp.sh", "args": [] } } }Restart Claude Desktop to load the new MCP server.
Usage
Once configured, you can use these tools in Claude Desktop conversations:
"List all Salesforce objects" - Uses
salesforce_list_objects
"Describe the Account object" - Uses
salesforce_describe
"Query all active accounts" - Uses
salesforce_query
"List all flows" - Uses
salesforce_list_flows
"Describe the Contact_Last_Reply_Date flow" - Uses
salesforce_describe_flow
"List all reports" - Uses
salesforce_list_reports
"List all dashboards" - Uses
salesforce_list_dashboards
Example queries:
SELECT Id, Name FROM Account LIMIT 10
SELECT Id, Email FROM Contact WHERE Email != null
Development
Running the Server
STDIO Mode (for MCP clients):
HTTP Mode (for testing):
Code Quality
Configuration
The server uses environment variables from .env
file:
SF_INSTANCE_URL
- Your Salesforce instance URLSF_ACCESS_TOKEN
- Salesforce access token (automatically managed)SF_ORG_ALIAS
- Alias for your Salesforce orgSF_USERNAME
- Your Salesforce usernameSFMCP_HTTP_HOST
- HTTP server host (default: 127.0.0.1)SFMCP_HTTP_PORT
- HTTP server port (default: 3333)
Troubleshooting
"Prerequisites check failed"
Install missing prerequisites using the commands in the Prerequisites section
Verify installations with:
python3 --version
,poetry --version
,node --version
,sf --version
"Salesforce CLI not found"
Install Salesforce CLI:
npm install -g @salesforce/cli
Verify Node.js is installed:
node --version
"Authentication failed"
Run
sf org list
to check authenticated orgsRe-authenticate:
sf org login web
Re-run the configuration script:
python install.py
"Permission denied"
Make sure you have proper Salesforce org permissions
Check that your access token hasn't expired
Try re-authenticating with
sf org login web
"Poetry not found"
Install Poetry:
curl -sSL https://install.python-poetry.org | python3 -
Add to PATH if needed:
export PATH="$HOME/.local/bin:$PATH"
Restart your terminal and try again
local-only server
The server can only run on the client's local machine because it depends on local resources.
Enables interaction with Salesforce organizations through SOQL queries, object discovery, and metadata inspection. Provides seamless access to Salesforce data and schema information through the Salesforce CLI.