About Release 8.0.0
This site contains documentation for HPE Data Fabric release 8.0.0, including installation, configuration, administration, and reference content, as well as content for the associated ecosystem components and drivers.
8.0.0 Installation
This section contains information about installing HPE Data Fabric software. It also contains information about how to migrate data and applications from an Apache Hadoop cluster to a HPE Ezmeral Data Fabric cluster.
8.0.0 Upgrade
This section describes how to upgrade HPE Data Fabric software.
8.0.0 Data Fabric
HPE Data Fabric is the industry-leading data platform for AI and analytics that solves enterprise business needs.
8.0.0 Administration
This section describes how to manage the nodes and services that make up a cluster.
8.0.0 Development
This section contains information related to application development for Ezmeral ecosystem components and HPE Data Fabric products, including the file system, Database (Key-Value and JSON), and Event Streams.
- Application Development Process
  Before you start developing applications on the HPE Data Fabric platform, consider how you will get the data into the platform, the storage format of the data, the type of processing or modeling that is required, and how the data will be accessed.
- File Store and Apps
  The following sections provide information about accessing the File Store with C and Java applications.
- HPE Data Fabric Database and Apps
  This section contains information about developing client applications for JSON and key-value tables.
- Apache Kafka Wire Protocol Service
  HPE Data Fabric Streams supports Apache Kafka Wire Protocol Service. Apache Kafka Wire Protocol Service is a TCP/IP service that emulates a Kafka cluster backed by HPE Data Fabric Streams. The service makes it possible for Apache Kafka clients written in any programming language to access topics in HPE Data Fabric Streams.
- Model Context Protocol (MCP)
  - Getting Started with Data Fabric MCP
  - Configuring Data Fabric MCP Server
    This topics describes various configuration settings required for MCP.
  - Data Fabric MCP Endpoints
  - Registering MCP Server with AI Applications
    This topics describes various configuration settings required for MCP.
- HPE Data Fabric Streams and Apps
  HPE Data Fabric Streams brings integrated publish and subscribe messaging to HPE Data Fabric.
- MapReduce and Apps
  This section contains information associated with developing YARN applications.
- Kubernetes Interfaces for Data Fabric
  This section describes how to leverage the capabilities of the Kubernetes Interfaces for Data Fabric.
- Ecosystem Components
  The following sections provide information about each open-source project that is supported by the HPE Data Fabric.
- Maven and the HPE Data Fabric
  This section discusses topics associated with Maven and the HPE Data Fabric.
- Developer's Reference
  This section contains in-depth information for the developer.
- API Documentation
  HPE Data Fabric supports public APIs for file system, HPE Data Fabric Database, and HPE Data Fabric Streams. These APIs are available for application-development purposes.
Other Docs
This section contains release-independent information, including: Installer documentation, Ecosystem release notes, interoperability matrices, security vulnerabilities, and links to other Data Fabric version documentation.
Glossary
Definitions for commonly used terms in MapR Converged Data Platform environments.

Model Context Protocol (MCP)

Overview

MCP (Model Context Protocol) is an open-source standard for connecting AI applications or LLMs to external data sources. MCP provides AI agents a consistent way to connect with various tools, services, and data. It is a Universal connector – like a USB-C port - for AI apps.

MCP follows a client/server architecture. AI agents such as Claude or Cursor use the MCP client to communicate with the MCP servers. The MCP server exposes three standard external capabilities such as tools, resources (data), and prompts (templates).

Starting with version Data Fabric 8.0.0, HPE Data Fabric includes an MCP server with the following capabilities:

Data Fabric Native MCP server: Embedded MCP server helps in simplifying operations, improving security, and aligning with platform-native support.
Uniform data coverage: Support for Files, Objects, and Iceberg tables as queryable tools/resources via MCP protocol.
- Files / Objects: Instant access to metadata, summaries, and lightweight lookups.
- Iceberg: Facilitates advanced analytics through Spark, as MCP submits SQL jobs, Spark processes, results are returned
Governed by design: MCP access is read-only, ensuring minimal risk while enforcing policy compliance across access paths.

Architecture

The MCP service runs within data access gateway (DAG).

The following image shows the communication paths between MCP Hosts, MCP Service in DAG, and various data sources in HPE Data Fabric:

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HPE Data Fabric 8.0.0 Software Documentation
Abstract	This site contains documentation for HPE Data Fabric Software version 8.0.0 including installation, configuration, administration, and reference content, as well as content for the associated bundled ecosystem components and drivers.
Published	November 2025
Edition	8.0.0
Topic last updated	2025-10-30