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Let AI query, update, and analyze Salesforce CRM data without API glue code.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Salesforce MCP" yet — see the docs or source repo.
After connecting to Salesforce, calculate the number of opportunities, total value, and average sales cycle for each stage this quarter, then summarize key anomalies in a table.
A stage-by-stage pipeline analysis table highlighting unusual changes or bottlenecks.
Find leads in the SaaS industry with no follow-up in the last 90 days, update their status to "Reactivation Pending," and list the modified records.
The tool filters and updates the records, then returns a change log for review.
Using Salesforce account, case, and opportunity data, identify key customers at risk of churn over the past 6 months and explain the reasoning.
A list of high-risk customers with risk indicators and a brief analytical explanation.
Connect an MCP AI assistant to Salesforce for data, schema, Apex, and deployments.
Use natural language to query and act on Salesforce through MCP.
Access Salesforce Tooling API via AI for metadata, queries, analysis, and debugging.
Query Salesforce data, analyze opportunities, and create cases via MCP.
Connect AI to Salesforce Commerce Cloud for storefront navigation and order management.
Use natural language to manage Salesforce data, schema, DevOps, and analytics.