# Welcome to Delpha Documentation Hub ## Welcome to Delpha Documentation Empower your organization with high-quality, actionable data. Delpha connects directly to your data ecosystem to evaluate records, automate deduplication, and deliver intelligent, contextual enrichments right where your team works. Whether you are a CRM Administrator optimizing user workflows or a Developer building custom data pipelines, explore our documentation paths below to get started. *** Explore our documentation based on your implementation and integration needs. ### Delpha for Salesforce Maximize the value of your CRM. Learn how to deploy Delpha natively within Salesforce to monitor data quality dimensions, resolve duplicates, and guide your reps with real-time recommendations. * Quick Start & Setup Guide * Understanding Data Quality Dimensions * Deduplication & Field Merge Strategies * Job Tracking & Champion Management 👉 Explore [Delpha for Salesforce](/delpha-for-salesforce/welcome-to-delpha-documentation.md) Docs ### Delpha API and MCP Extend Delpha's data quality and enrichment engines beyond Salesforce. Access our developer resources to integrate our pipelines into your custom software or leverage our Model Context Protocol (MCP) server to connect your local AI agents and LLMs directly to your business data. * Core API Reference * MCP Server Configuration & Use Cases * Working with Structured JSON Data Payloads 👉 Explore [API & MCP](/delpha-api-and-mcp/delpha-api-and-mcp.md) Docs > 📞 **Need help?** Can't find what you are looking for? Reach out to our customer success team or visit [Delpha.io](https://delpha.io) for pricing and product overviews. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://help.delpha.io/welcome-to-delpha-documentation-hub.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.