Salesforce MCP is the official Model Context Protocol server from Salesforce that enables AI assistants to interact with
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Tracked since2026
0 reviews trackedThe Bottom Line
Entry price
Free, no paid tier
Biggest pro
Comprehensive coverage with 60+ tools spanning the entire Salesforce development lifecycle
Biggest con
Requires local Salesforce CLI setup and org authentication before use
TL;DR - Salesforce MCP
- Official Salesforce DX MCP server with 60+ tools for metadata, queries, code analysis, and LWC development
- Organized into 12 toolsets (Core, Data, Metadata, Testing, DevOps Center, etc.) with flexible configuration
- Requires local Salesforce CLI auth, works with Claude, Cursor, and VS Code
Pricing: Free forever
Best for: Individuals & startups
What is Salesforce MCP?
Salesforce MCP is the official Model Context Protocol server from Salesforce that enables AI assistants to interact with Salesforce orgs through natural language. Built on the Salesforce DX CLI, it exposes over 60 tools organized into specialized toolsets covering metadata deployment, SOQL queries, user management, code analysis, testing, and Lightning Web Component development.
The server supports role-based tool access with explicit org authorization. Developers can enable specific toolsets, including Core, Orgs, Metadata, Data, Users, Testing, Code Analysis, LWC Experts, Aura Experts, DevOps Center, Mobile, and Scale Products, or cherry-pick individual tools. A dynamic tools mode reduces LLM context size by loading tools on demand.
Key capabilities include deploying and retrieving metadata, running SOQL queries against any authorized org, executing static code analysis for best practices and vulnerabilities, generating LWC components from specifications with automated Jest tests, orchestrating Aura-to-LWC migrations, and detecting and resolving DevOps Center merge conflicts. The server requires local Salesforce CLI authentication and works with Claude, Cursor, VS Code, and other MCP-compatible clients.
Available on: Web
Pros & Cons
Pros
- Comprehensive coverage with 60+ tools spanning the entire Salesforce development lifecycle
- Flexible configuration, enable full toolsets or cherry-pick individual tools
- Official Salesforce product with tight CLI integration and regular updates
- Code analysis catches vulnerabilities and enforces best practices automatically
- Dynamic tools mode keeps LLM context lean for complex conversations
Cons
- Requires local Salesforce CLI setup and org authentication before use
- Large tool count can overwhelm LLM context windows without dynamic mode
- Currently in Developer Preview, some toolsets may change before GA
- Limited to Salesforce ecosystem, no cross-CRM capabilities
Key Features
Over 60 MCP tools organized into 12 specialized toolsets for Salesforce developmentSOQL query execution against any authorized Salesforce orgMetadata deployment and retrieval for pushing and pulling org configurationsStatic code analysis with Salesforce Code Analyzer for vulnerability detectionLWC component generation from PRDs with automated Jest test creationAura-to-LWC migration orchestration with blueprint draftingDevOps Center integration for merge conflict detection and resolutionDynamic tool loading to reduce LLM context window usage
Pricing Plans
Pricing checked Jun 26, 2026
Open Source
Free
- Full source code access
- Community support
- Self-hosted
Reviews
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Salesforce MCP FAQ
How does Salesforce MCP assist with Salesforce development workflows?
Salesforce MCP enables AI assistants to interact with Salesforce orgs using natural language, providing over 60 tools for tasks like metadata deployment, SOQL queries, code analysis, and Lightning Web Component development. This allows developers to automate and streamline many aspects of the Salesforce development lifecycle through AI interaction.
What kind of user benefits most from Salesforce MCP?
Salesforce MCP is designed for Salesforce developers and teams who want to leverage AI assistants to enhance their productivity and automate tasks within the Salesforce ecosystem. It is particularly useful for those involved in metadata deployment, code analysis, and LWC development.
How does Salesforce MCP compare to the OpenAI API?
Salesforce MCP is specifically designed for deep integration and interaction within the Salesforce ecosystem, offering over 60 specialized tools for Salesforce orgs. In contrast, the OpenAI API provides general-purpose language model access, which can be adapted for various tasks but lacks the native, comprehensive Salesforce-specific functionalities of MCP.
What are the main limitations of Salesforce MCP?
Salesforce MCP requires a local Salesforce CLI setup and org authentication before it can be used. Additionally, its extensive tool count can potentially overwhelm large language model context windows if not managed with the dynamic tools mode, and it is currently limited to the Salesforce ecosystem.
Does Salesforce MCP include a free tier?
Yes, Salesforce MCP is free to use and does not require a paid plan. It is available as the official Model Context Protocol server from Salesforce.
How does Salesforce MCP handle security and access control?
Salesforce MCP supports role-based tool access and requires explicit org authorization. This ensures that AI assistants only have access to the tools and Salesforce orgs they are permitted to interact with, maintaining security and control over operations.
Can Salesforce MCP help with code quality and best practices?
Yes, Salesforce MCP includes tools for executing static code analysis, which helps identify vulnerabilities and enforce best practices within Salesforce code. This feature assists developers in maintaining high-quality and secure codebases.
Source: github.com