Discover 29 MCPs built for Salesforce.
Enables large language models to securely read, manage, and operate Salesforce resources.
Connects large language models to Salesforce data through SOQL queries and SOSL searches.
Enables natural language interactions with Salesforce data and metadata using Claude.
Enables interaction with Salesforce through its REST API using the Model Context Protocol.
Exposes Salesforce CLI commands as Model Context Protocol (MCP) tools for use in LLM-powered agents.
Enables AI assistants to interact with Salesforce organizations by providing tools for Apex execution, data querying, metadata management, and code analysis via the Salesforce CLI.
Integrates Claude with Salesforce, enabling natural language interactions with your data and metadata.
Enables interaction with the Salesforce Agentforce API for authentication, session creation, and message exchange.
Enables AI agents to securely access and interact with Salesforce data through natural language.
Connects Salesforce as a Messaging Component Platform (MCP) server for Claude for Desktop.
Connects Snowfakery data generation to AI assistants using the Model Context Protocol.
Showcases architectural patterns and inner workings of the Model Context Protocol (MCP) when integrating with various AI agents, including Agentforce, across local and Heroku-hosted environments.
Integrates large language models with Salesforce data via a Model Context Protocol server.
Enables natural language interactions with Salesforce data and metadata through a Model Context Protocol (MCP) server.
Facilitates community feedback, change proposals, and release note distribution for the Salesforce DX server.
Connects Salesforce, Atlassian, and custom resources to agents via a standardized Model Context Protocol.
Transforms Claude Desktop into a powerful Salesforce IDE, offering comprehensive tools for metadata management, testing, and multi-org operations.
Connects Large Language Models (LLMs) to Salesforce, enabling interaction with CRM data and functionalities through SOQL, SOSL, and various API calls.
Empower AI assistants to interact with Salesforce organizations, facilitating Apex execution, SOQL queries, metadata management, code analysis, and development automation.
Integrates AI models with Salesforce, providing comprehensive management of data, development, and administrative tasks through natural language interactions.
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