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by taylor-ortiz • NLP & LLM
A multi-turn MCP tool that turns natural language into valid SOQL queries, runs them against Salesforce, and (optionally) summarizes results for users.
Convert user natural-language requests into valid SOQL queries against a Salesforce org.
Multi-turn clarification flows to disambiguate user intent (e.g., "my cases" vs all cases) before running queries.
Retrieve Salesforce metadata-driven field-aware queries and summarize query results in plain language.
This MCP server connects to Salesforce via Simple Salesforce, retrieves object and field metadata, and uses an LLM (via Fast MCP and the OpenAI Responses API) to generate complete SOQL queries from user natural language. It supports multi-turn clarification when queries are ambiguous (for example, user-specific filters) and can execute the generated queries and produce plain-language summaries of the results. The prompts are designed to leverage detailed field metadata and formatting helpers to produce accurate, executable SOQL.
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