Komprise Breaks the AI Context Barrier and Reduces MCP Bloat with New Universal File MCP Solution

New solution delivers curated, streamlined access to unstructured data across hybrid storage silos, enhancing AI's value

CAMPBELL, Calif., Sept. 29, 2026 (GLOBE NEWSWIRE) -- Komprise, the leader in analytics-driven unstructured data management, today announced Komprise Universal File MCP to solve the growing problem of Model Context Protocol (MCP) bloat which complicates search and user experience. As nearly every vendor publishes a MCP interface, AI is getting overloaded with multiple tool definitions, resulting in lower accuracy, slow performance and higher costs.

The problem compounds with unstructured data response bloat as file and object listings are unbounded and can be millions to billions of files across disparate hybrid storage. This means that AI tools process too much of the wrong data, which also drives up token costs. McKinsey's Enterprise AI FinOps Survey reveals that a staggering 60% of agentic AI computing costs are consumed entirely by “response refinement,” which is the behind-the-scenes token loops where sub-agents critique and format data before presenting a final answer.

MCP, while standardizing connections between corporate data sources and AI tools, hasn't solved the widespread data readiness problem. Only 5% of enterprises say their data is ready for AI, according to a recent global survey of 10,000 businesses from Dun & Bradstreet.

Komprise Universal File MCP

Komprise Universal File MCP is a single interface for AI agents and LLMs to query across enterprise file storage, NAS, cloud, and unstructured data silos. It right-sizes responses by sending just the right unstructured data, enriched with context and governed by user-specific access permissions. Komprise Universal File MCP works through delivering:

• Governed, Secure Access: Authenticated access only delivers responses based on the user's privileges and what they are authorized to see. It audits what data is sent to AI for governance and reporting.
• Consistent Schema: Leverages the petabyte-scale Komprise Global Metadatabase to provide uniform structure for unstructured data across storage. This gives AI a consistent way to query, regardless of who produced the data or where the data currently lives.
• High-Quality, Enriched Data: Komprise AI Preparation & Process Automation (KAPPA) extracts contextual metadata based on industry, enterprise, sensitivity, users, and other context to support specific AI use cases.
• Noise Filters: Komprise Deep Analytics allows users to eradicate irrelevant, outdated, conflicting and duplicate data, resulting in high-quality inputs.
• Progressive Disclosure with Transparent File Tables: Komprise Universal File MCP enables progressive loading of information to AI, beginning with metadata for summarization and the option to export results as an Apache Iceberg table using Komprise Transparent File Tables. It then loads files only when the AI needs it, further reducing response bloat.
• Works on Tiered Data: Komprise Universal File MCP serves up data even as data moves, so tiered and archived data remain accessible via Komprise Transparent Move Technology.
• Ingests into AI, Lakehouses and Analytics: Komprise Universal File MCP enables follow-up actions from the prompt, such as ingesting the results into AI or a lakehouse for further processing using Komprise Intelligent AI Ingest.
  
  

“The Komprise Universal File MCP lifts the veil on dark enterprise data by unifying governed access across silos,” says Kumar K. Goswami, CEO of Komprise. “We’re thrilled to help our customers easily leverage AI across all of their file data by asking complex questions and initiating workflows to act on the results, all while ensuring access controls remain intact."

Example Use Cases

• Enterprise Search: A clinician or researcher can simply ask their LLM to find pathology images related to certain studies in certain time ranges. The LLM uses Komprise MCP to run a query that filters the data based on system metadata, KAPPA-enriched DICOM metadata, user permissions and contextual knowledge.
• Data for Agentic AI: AI agents can execute multi-step workflows such as “use the spread of liability exposure in current contracts to draft a new template” to get a curated list of the most relevant liability clauses across customer contracts and feed it to a workflow that develops the template.
• IT Diagnostics & Self-Help: IT can use Komprise MCP in any GenAI tool to ask questions on data across storage, such as: find all IP data from a business unit, tag it and set up a workflow to confine it for review, or authorize non-IT users to take similar actions. IT can quickly discover non-compliant files, such as personal videos consuming Flash capacity, or search for research data by project keyword that is over six months old and could be tiered with approval.
  
  

“Opening up clinical and research data to AI tools means my team needs to review who could see what, case by case, putting security in the middle of every request,” said Stephen Clark, Director of Information Security at Children’s Medical Center, Dallas. “With Komprise Universal File MCP, the query respects the permissions a user already has and leaves us a record of what went to the model. Our researchers get their data faster, and IT is not managing a separate connector for every storage system.”

“The first wave of MCP servers solved the issue of connecting AI to enterprise data,” says Todd Dorsey, Senior Storage Analyst with DCIG. “But it’s critical to send AI only the files it needs to answer questions across the mix of NAS, object and cloud storage enterprises typically run rather than a single vendor footprint. Komprise is taking a notable step toward simplifying the curation of unstructured data for AI with its new MCP solution.”

Availability

Komprise Universal File MCP is available today in an early access program for customers and partners. To learn more, visit https://www.komprise.com/glossary_terms/mcp/.

About Komprise

Komprise connects unstructured data management with AI through a unified platform. With Komprise Intelligent Data Management, enterprise IT can easily analyze, migrate, transparently tier, and manage the lifecycle of petabytes of file and object data across hybrid environments. Organizations gain full visibility across silos to optimize storage, backup, ransomware, and cloud costs. Smart Data Workflows and the Global Metadatabase unlock rich unstructured data context and governed access for AI. For more information, visit www.komprise.com.

Contact:
Kevin Wolf
TGPR
kevin@tgprllc.com