Salesforce MCP Server
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- AlicenseAqualityBmaintenanceEnables natural language interactions with Salesforce data and metadata, allowing users to query, modify, and manage Salesforce objects and records.153,554 npmMIT
- FlicenseBqualityDmaintenanceProvides AI agents with secure access to Salesforce data and operations, enabling natural language interaction with CRM for sales, marketing, and executive teams.65-
- AlicenseAqualityBmaintenanceEnables interaction with Salesforce orgs to perform operations like querying data with SOQL, managing records, and executing Apex code. It provides configurable access levels and support for both standard and Tooling APIs via natural language interfaces.11MIT
- AlicenseAqualityCmaintenanceEnables AI assistants to interact with Salesforce through a secure interface for performing CRUD operations, executing SOQL queries, and managing schema discovery. It features a smart learning system that analyzes custom objects and fields to provide intelligent assistance tailored to specific Salesforce configurations.1450 npm17BSD 2-Clause "Simplified"
- FlicenseNot gradedqualityNot gradedmaintenanceA natural language interface for Salesforce data that allows users to query accounts, opportunities, contacts, leads, and activities through conversational prompts. It supports SOQL queries and provides tools for data retrieval and analysis without requiring technical Salesforce knowledge.31 npm-
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TDQS
Scored across 18 tools
The generic CRUD/query/metadata tools are distinct, but at least four opportunity-focused tools (opportunity_insights, enrich_opportunity, generate_business_case, analyze_conversation) all describe generating insights/recommendations from opportunity data with blurred boundaries. An agent could easily select the wrong one for a given request.
Most tools follow a clear verb_noun pattern (create_record, delete_record, search_opportunities, describe_object). Minor deviations like opportunity_insights, batch, and bare analyze keep it from being fully consistent.
18 tools is on the heavy side for a cohesive set, and several opportunity-insight tools could be consolidated. It is not excessive, but the surface feels padded rather than tightly scoped.
The set covers record create/update/delete, SOQL querying, object/field metadata, file download, batch operations, and a broad opportunity workflow. The main gap is a generic get_record/list_records tool, though execute_soql can work around it, and file upload is absent.