Connect Agentforce to live HDFS data, securely.
CData Connect AI lets you plug any business application into any AI tool—like HDFS into Agentforce—for live, trusted answers and actions with zero data copies.
Schema-aware MCP server
Agentforce reads your full HDFS data model on connect
Cross-source MCP toolset
Join live HDFS with hundreds of other systems in one prompt
Bidirectional with identity passthrough
Agentforce reads and writes under your access rules
HDFS:
Apache Hadoop Distributed File System (HDFS) is a distributed file system designed to store and manage large volumes of data across multiple nodes in a Hadoop cluster. It provides high availability, fault tolerance, and scalability for storing and processing big data. HDFS is a key component of the Apache Hadoop ecosystem.
Agentforce:
Agentforce is Salesforce’s agent framework for building and orchestrating autonomous AI agents that work across the Salesforce Customer 360 platform. Agentforce agents can reason, plan, and act using your apps, data, and workflows. With Connect AI, you can give these agents live, governed business data from external systems—without staging it in Salesforce Data 360 or writing custom Apex/Flow connectors.
Popular Agentforce & HDFS integration use cases
- Autonomous customer service agents — Let Agentforce agents resolve cases using real-time context from HDFS, reducing escalations and handle time.
- Cross-cloud execution — Build agents that orchestrate actions across Sales, Service, and Marketing Clouds using live HDFS data without staging it in Data Cloud.
- Governed writebacks into Salesforce and beyond — Expose only approved read/write operations on HDFS to Agentforce agents, with full RBAC, masking, and request logging.
- Complex, multi-step planning — Equip agents to reason over HDFS data and build multi-step plans, execute tasks, and validate results automatically.
Learn more about CData Connect AI
HDFS to Agentforce features
Access data where it lives right now. Ensure data is always live, always retains its metadata and semantics, and always protected by source system permissions.
Expose your data's metadata, relationships, and context so AI has real understanding of your business without recreating it on top of a warehouse.
Point-and-click connection setup that works for both queries and actions so you can set up integrations in minutes.
Pass through and edit role-based access control (RBAC) inherited from the source to users in AI and AI agents.
How It Works: Model Context Protocol (MCP)
Connect AI is first managed Model Context Protocol (MCP) platform for AI integration. Model Context Protocol (MCP) is an open standard for connecting AI assistants, agents, and automations to external tools and data.
With Connect AI's managed MCP platform, you can present your enterprise systems as standardized MCP tools and resources and call them directly from AI.
Instead of building and maintaining dozens of one-off MCP Servers, your AI simply calls one universal MCP URL from Connect AI, and gets governed access to live data from across your enterprise stack.
Getting Started is Easy:
- Configure data sources (Salesforce, NetSuite, Workday, SQL, Jira, etc.) in Connect AI.
- Create a 'Remote MCP' URL.
- Connect Agentforce to your business data.
Get Started for Free
Access live HDFS data in other popular AI tools
No complicated data movement, ETL, or data integration required. Securely connect live HDFS data with any AI tool that supports MCP. Select your preferred tool below to learn more.
