
Salesforce MCP Integration
A Model Context Protocol server that allows execution of SOQL queries and interaction with Salesforce data through a standardized interface.
README
Salesforce MCP Integration
This project provides a Model Context Protocol (MCP) server for Salesforce integration, allowing you to execute SOQL queries and interact with Salesforce data through a standardized interface.
Features
- Connect to Salesforce orgs using environment variables
- Execute SOQL queries against Salesforce data
- Retrieve and process Salesforce records
- Secure credential management using environment variables
Prerequisites
- Node.js (v14 or higher)
- npm (Node Package Manager)
- Salesforce org with API access
- Salesforce credentials (username, password, and security token)
Installation
-
Clone this repository:
git clone <repository-url> cd <repository-directory>
-
Install dependencies:
npm install
-
Create a
.env
file in the root directory with your Salesforce credentials:SF_LOGIN_URL=https://your-instance.salesforce.com/ SF_USERNAME=your_username SF_PASSWORD=your_password SF_SECURITY_TOKEN=your_security_token PORT=3000
Note: For sandbox environments, use
https://test.salesforce.com/
as the login URL.
Usage
Starting the MCP Server
Run the server using Node.js:
node server.js
The server will connect to Salesforce using the credentials in your .env
file and start listening for MCP requests.
Executing SOQL Queries
Once the server is running, you can execute SOQL queries through the MCP interface. The server provides a soqlQuery
tool that accepts SOQL queries and returns the results.
Example SOQL query:
SELECT Id, Name, Status FROM Account LIMIT 5
Project Structure
server.js
- Main MCP server implementation.env
- Environment variables for Salesforce credentialspackage.json
- Project dependencies and scripts
Security Considerations
- Never commit your
.env
file to version control - Add
.env
to your.gitignore
file - Use environment variables for all sensitive information
- Consider using a more secure authentication method for production environments
Troubleshooting
Connection Issues
If you encounter connection issues:
- Verify your Salesforce credentials in the
.env
file - Check that your Salesforce org is accessible
- Ensure your IP address is whitelisted in Salesforce (if required)
- Verify that your Salesforce user has API access
Query Errors
If your SOQL queries fail:
- Check the SOQL syntax
- Verify that the objects and fields exist in your org
- Ensure your user has permission to access the objects and fields
License
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.