by smn2gnt · MCP Server · ★ 179
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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 file. Add the following entry to the section: { "mcpServers": { "salesforce": { "command": "uvx", "args": [ "--from", "mcp-salesforce-connector", "salesforce" ], "env": { "SALESFORCEACCESSTOKEN": "SALESFORCEACCESSTOKEN", "SALESFORCEINSTANCEURL": "SALESFORCEINSTANCEURL", "SALESFORCEDOMAIN": "SALESFORCEDOMAIN" } } } } Available Tools Query and Search Tools - Execute SOQL queries against Salesforce - Perform SOSL s
| Stars | 179 |
| Forks | 52 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 39.45/100 |
| Open Issues | 2 |
| Last Updated | 2026-05-30 |
| Created | 2024-12-17 |
| Platforms | mcp, python |
| Est. Tokens | ~10k |
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MCP-Salesforce is MCP Salesforce connector. It is categorized as a MCP Server with 179 GitHub stars.
MCP-Salesforce is primarily written in Python. It covers topics such as mcp, modelcontextprotocol, salesforce.
You can find installation instructions and usage details in the MCP-Salesforce GitHub repository at github.com/smn2gnt/MCP-Salesforce. The project has 179 stars and 52 forks, indicating an active community.
MCP-Salesforce is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to MCP-Salesforce on Agent Skills Hub include mcp-server-salesforce, octocode-mcp, mcpcan. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.