Precisely has released a Data Integration Agent within its Data Integrity Suite that automates data pipeline design, schema mapping, and validation. Alongside the agent, the company launched an MCP server that exposes data integration, quality, and catalog APIs to external AI agents, and a Data Product Marketplace built through a partnership with Huwise.
What the Agent Does
The Data Integration Agent handles the setup and configuration of data replication pipelines autonomously. According to Precisely’s announcement, teams report that designing data pipelines manually takes weeks. The agent compresses that to hours by handling schema mapping, validation rules, and pipeline configuration without human intervention.
The agent joins the previously announced Gio AI Assistant and a growing collection of specialized agents for data quality, enrichment, and metadata management within the Data Integrity Suite.
MCP Server: Data Infrastructure Becomes Agent-Accessible
The more significant piece may be the MCP server. Precisely now hosts a Model Context Protocol server that exposes its data integration, data quality, and data catalog APIs to any MCP-compatible AI agent or tool. This means external agents can discover, access, and use Precisely’s data capabilities without custom API integrations.
This builds on a previous MCP server release focused on location intelligence and data enrichment. The expansion to core data infrastructure (pipelines, quality rules, metadata catalogs) makes Precisely’s entire platform programmatically accessible to autonomous agents.
“Organizations are eager to scale AI, but data readiness remains the biggest obstacle,” Matt Waxman, Precisely’s Chief Product Officer, said in the announcement. “We are helping customers turn their data into a trusted, reusable asset that can directly power AI applications and agent-driven workflows.”
Data Product Marketplace
The third component is a Data Product Marketplace, built through a partnership with Huwise. It lets organizations publish and share governed data products for internal and external use. The marketplace is integrated into the Data Integrity Suite, so data products carry the same quality and governance guarantees as the source infrastructure.
The Pattern: Infrastructure Layers Going Agent-Native
Precisely’s release fits a pattern visible across enterprise infrastructure this week. Snyk embedded Claude for autonomous security. Opsera embedded governance agents in the Cursor IDE. Prismatic gave Claude Code production integration awareness. Now Precisely is making data infrastructure itself discoverable and operable by AI agents via MCP. The common thread: enterprise infrastructure layers that previously required human operators are exposing themselves as agent-accessible services, moving from human-operated to agent-negotiable.