MCP Salesforce Connector
Interact with Salesforce data using SOQL queries and SOSL searches via an MCP server.
MCP Salesforce Connector
A Model Context Protocol (MCP) server implementation for Salesforce integration, allowing LLMs to interact with Salesforce data through SOQL queries and SOSL searches.
Features
- Execute SOQL (Salesforce Object Query Language) queries
- Perform SOSL (Salesforce Object Search Language) searches
- Retrieve metadata for Salesforce objects, including field names, labels, and types
- List all available SObjects - Discover standard and custom objects
- Retrieve, create, update, and delete records
- Execute Tooling API requests
- Execute Apex REST requests
- Make direct REST API calls to Salesforce
Configuration
Model Context Protocol
To use this server with the Model Context Protocol, you need to configure it in your claude_desktop_config.json file. Add the following entry to the mcpServers section:
{
"mcpServers": {
"salesforce": {
"command": "uvx",
"args": [
"--from",
"mcp-salesforce-connector",
"salesforce"
],
"env": {
"SALESFORCE_ACCESS_TOKEN": "SALESFORCE_ACCESS_TOKEN",
"SALESFORCE_INSTANCE_URL": "SALESFORCE_INSTANCE_URL",
"SALESFORCE_DOMAIN": "SALESFORCE_DOMAIN"
}
}
}
}
Available Tools
Query and Search Tools
run_soql_query- Execute SOQL queries against Salesforcerun_sosl_search- Perform SOSL searches across objects
Metadata Tools
get_object_fields- Retrieve field metadata for specific objectslist_sobjects- List all available SObjects (standard and custom)
Single Record Operations
get_record- Retrieve a specific record by IDcreate_record- Create a new recordupdate_record- Update an existing recorddelete_record- Delete a record
Bulk Operations
bulk_create_records- Create multiple records in a single operationbulk_update_records- Update multiple records (must include Id field)bulk_delete_records- Delete multiple records using record IDs
Advanced API Tools
tooling_execute- Execute Tooling API requestsapex_execute- Execute Apex REST requestsrestful- Make direct REST API calls to Salesforce
Note on Salesforce Authentication Methods
This server supports four authentication methods:
- OAuth (Recommended): Set
SALESFORCE_ACCESS_TOKENandSALESFORCE_INSTANCE_URLas environment variables. - Client Credentials: Set
SALESFORCE_CLIENT_IDandSALESFORCE_CLIENT_SECRETfor OAuth 2.0 Client Credentials flow. This is useful for server-to-server integrations. - Salesforce CLI (Default Org): If no OAuth env vars are set, the server will try to use the active Salesforce CLI default org from the current workspace (via
sf org display --jsonorsfdx force:org:display --json). Optionally setSALESFORCE_CLI_TARGET_ORGto target a specific org. - Username/Password (Legacy): If
SALESFORCE_ACCESS_TOKENandSALESFORCE_INSTANCE_URLare not set, the server will fall back to usingSALESFORCE_USERNAME,SALESFORCE_PASSWORD, andSALESFORCE_SECURITY_TOKEN.
Environment Configuration
SALESFORCE_DOMAIN(Optional): Set totestto connect to a Salesforce sandbox environment. If not set or left empty, the server will connect to the production environment.SALESFORCE_CLI_TARGET_ORG(Optional): When using the Salesforce CLI authentication method, set this to target a specific org alias or username instead of the default org.
相關伺服器
Gemini Image Analysis
Analyzes image and video content from URLs or local files using the Gemini 2.0 Flash model.
Terrakube MCP Server
Manage Terrakube workspaces, variables, modules, and organizations.
Bybit MCP Server
Access Bybit's v5 API for real-time market data, trading operations, and account information.
sentry-mcp-rs
A fast, lightweight MCP server for Sentry, written in Rust.
Netlify
Create, build, deploy, and manage Netlify resources using natural language.
Remote MCP Server (Authless)
A remote MCP server deployable on Cloudflare Workers without authentication.
Jamf Pro MCP Server
Interact with Jamf Pro for Apple device management tasks.
Pierre Fitness API
A multi-protocol API for accessing fitness data from providers like Strava and Fitbit, featuring AI-powered analysis and enterprise-grade management.
AWS CloudTrail
This AWS Labs Model Context Protocol (MCP) server for CloudTrail enables your AI agents to query AWS account activity for security investigations, compliance auditing, and operational troubleshooting.
Agent-Memo.AI
Cloud memory for Claude Code, Cursor, and any MCP-compatible agent. Context persists across sessions, projects, and teams.