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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.
Access Salesforce Tooling API via AI for metadata, queries, analysis, and debugging.
Parse Salesforce objects and fields to explore metadata with fewer AI hallucinations.
Connect AI to Salesforce to inspect objects and run SOQL queries.
Connect to Salesforce to manage records and automate external service integrations.
Manage CRM contacts, leads, and deals through natural-language AI actions.