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Map Salesforce metadata into graphs for schema reasoning and accurate SOQL generation.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "sf-graph" yet — see the docs or source repo.
Using the Salesforce metadata mapped into Neo4j, analyze the relationships among Account, Contact, and Opportunity, then generate a SOQL query that returns account names, related contact emails, and opportunity amounts for won opportunities in the last 90 days.
A clear explanation of field relationships plus an executable, structurally correct SOQL query.
Based on the Salesforce schema stored in the graph database, summarize the Case object, its related objects, key fields, and lookup relationships, and identify which fields should be prioritized when querying customer ticket status.
A summary of object relationships, recommended key fields, and query design guidance.
Assume you are a Salesforce data assistant. Use the metadata graph in Neo4j to determine which objects and fields are needed to query lead conversion performance related to a specific Campaign, then produce a query plan.
A reasoned object path, the involved fields, and an executable query plan.
Parse Salesforce objects and fields to explore metadata with fewer AI hallucinations.
Connect Salesforce APIs for queries, record CRUD, metadata access, and GenAI workflows.
Use natural language to manage Salesforce data, schema, DevOps, and analytics.
Ask plain-language questions about your Salesforce org with grounded read-only answers.
Let Claude query and manage Salesforce records via SOQL and SOSL.
Let AI query, update, and analyze Salesforce CRM data without API glue code.