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Manage Salesforce Interaction Studio datasets, campaigns, segments, and performance stats with natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-interaction-studio" yet — see the docs or source repo.
List all Salesforce Interaction Studio campaigns from the last 30 days with name, status, impressions, click-through rate, and conversion rate, then sort them by conversion rate descending.
A ranked campaign performance table to quickly identify top and low performers.
List all current audience segments and flag the ones with no linked campaign activity in the past 7 days; if any exist, summarize their names and last updated times separately.
A segment inventory plus an idle-segment summary to support cleanup and audience optimization.
Review all datasets with their names, last updated times, and record counts, then identify which datasets have not been updated for more than 14 days and create a brief risk summary.
A dataset status list with risk notes and investigation priorities for stale datasets.
Access Salesforce Tooling API via AI for metadata, queries, analysis, and debugging.
Connect an MCP AI assistant to Salesforce for data, schema, Apex, and deployments.
Read and write Salesforce CRM objects for multi-tenant integrations and automation.
Query and manage Salesforce data, reports, and metadata using natural language.
Connect to Salesforce Commerce Cloud APIs for development, operations, and automation tasks.
Connect Gmail, OpenAI, and Salesforce through a multi-user remote FastMCP server.