Salesforce MCP Server
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Alternatives to Salesforce MCP Server
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Related Servers
- AlicenseAqualityCmaintenanceAn MCP server implementation that integrates Claude with Salesforce, enabling natural language interactions with Salesforce data and metadata for querying, modifying, and managing objects and records.765 npm15MIT
- AlicenseAqualityDmaintenanceAn MCP server implementation that integrates Claude with Salesforce, enabling natural language interactions with Salesforce data and metadata.865 npmMIT
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- AlicenseNot gradedqualityDmaintenanceAn MCP server that provides comprehensive access to Salesforce Tooling API for metadata management, SOQL queries, code analysis, and debugging through Claude and other AI assistants.25 npm5MIT
- AlicenseNot gradedqualityCmaintenanceA remote MCP server for Salesforce deployed on Cloudflare Workers, enabling Claude to query and manage Salesforce data through SOQL, SOSL, DML, and Apex with per-user OAuth.MIT
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TDQS
Scored across 15 tools
Each tool targets a clearly distinct resource/action pair. Query vs. aggregate query are explicitly disambiguated via cross-references; search objects (metadata) vs. search all (records) are differentiated; Apex class and trigger tools are separate. No genuine overlap.
All tools consistently use the 'salesforce_' prefix followed by snake_case names with verb-like prefixes (describe, query, search, manage, read, write, execute). Minor deviations like 'aggregate_query' and 'execute_anonymous' still fit the overall predictable pattern.
15 tools is at the upper end of the ideal range, but each tool earns its place by covering distinct Salesforce workflows: data querying, DML, metadata management, Apex code, and debug logs. No redundancy or bloat.
The tool set provides solid lifecycle coverage: record CRUD via dml_records, query and aggregate query, SOSL search, object/field metadata management, Apex class/trigger read/write, and anonymous execution. The main gap is lack of explicit delete operations for metadata (objects, fields, Apex classes/triggers), but execute_anonymous can act as a workaround in some cases.