Delpha API & MCP

Integrate Delpha's data quality and enrichment engines into your custom applications via our REST API, or connect local LLMs and AI agents to your business data using the Delpha MCP server.

Delpha API & MCP

Welcome to the Delpha Developer Hub. While Delpha offers a native application for Salesforce, our core data quality, deduplication, and enrichment engines are built API-first.

This section provides all the technical documentation, endpoints, and configuration guides you need to extend Delpha's capabilities into your own custom software, proprietary data pipelines, or advanced AI workflows.

Choose your integration method below to get started:

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Delpha REST API

Integrate Delpha’s powerful data processing directly into your custom applications, internal dashboards, or alternative CRMs. Our API allows you to programmatically trigger data quality checks, retrieve structured enrichments (like Company Legal IDs or Contact information), and manage data normalization at scale.

What you will find here:

• Authentication & API Key management

• Core endpoints for evaluation and enrichment

• Handling structured JSON payloads and recommendation data

• Rate limits and best practices

👉 Explore the API Documentation

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Delpha MCP (Model Context Protocol)

The Model Context Protocol (MCP) is an open standard that enables AI models and agents to securely interact with external tools and datasets. By running the Delpha MCP Server, you can connect your local Large Language Models (LLMs) or AI assistants directly to Delpha’s enterprise-grade B2B database.

What you will find here:

• How to install and configure the Delpha MCP Server

• Connecting Delpha to AI clients (like Claude Desktop or custom agents)

• Enabling natural language queries for company data, job tracking, and contact enrichment

• Managing context windows and prompt security

👉 Explore the MCP Documentation

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