TLDR: Striim has launched MCP AgentLink, a new solution designed to provide AI agents with secure, real-time, and governed data replicas via the Model Context Protocol (MCP). This innovation aims to accelerate the adoption of MCP for enterprise AI by ensuring agents access fresh, accurate, and compliant data without directly exposing sensitive production systems, while also enabling secure write-back capabilities.
PALO ALTO, Calif. – August 21, 2025 – Striim, a prominent leader in real-time intelligence for enterprise AI, today announced the introduction of MCP AgentLink. This novel solution is engineered to create secure, authorized data replicas that are exposed through the Model Context Protocol (MCP) for agentic systems. The Model Context Protocol is rapidly gaining recognition as a crucial standard for connecting AI agents to external systems and APIs, providing live, governed context for enterprise AI interactivity.
One of the primary challenges in deploying AI agents is ensuring secure and authorized access to production data without compromising system integrity or exposing sensitive information. Striim’s MCP-ready AgentLink directly addresses this by offering a continuous, real-time, cleansed, and protected operational replica within safe, compliant zones. This mechanism allows AI agents to access fresh, accurate data, thereby eliminating the need for direct interaction with production systems.
Striim’s proprietary AI Agents, such as Sentinel and Euclid, play a pivotal role in enhancing this data layer. They perform critical functions including masking Personally Identifiable Information (PII), enriching data with relevant metadata, and generating vector embeddings to facilitate advanced semantic searches. This comprehensive approach ensures that every interaction by an AI agent is powered by high-context, compliant intelligence. Furthermore, the solution incorporates secure, validated write-back capabilities, effectively closing the governed data loop and enabling enterprises to deploy MCP architectures with increased speed and confidence.
Jake Bengtson, VP of AI at Striim, emphasized the importance of data quality in AI decision-making. “The quality of an AI agent’s decisions comes down to the accuracy and freshness of its context,” said Bengtson. “Striim ensures that context is always fresh, always governed, and always safe to access—unlocking the full potential of MCP-powered enterprise AI.” He further highlighted that unlike traditional static integrations or fragile APIs, Striim empowers agents to dynamically query live, governed data and securely write back validated actions to the real-time replica, all without risking production performance.
Also Read:
- Vast Data Introduces SyncEngine to Accelerate AI Data Pipelines from Disparate Sources
- SurrealDB Revolutionizes AI Agent Memory with Integrated Real-Time Data Management
The introduction of MCP AgentLink is expected to significantly close the gap in MCP adoption. MCP, pioneered by Anthropic and supported by industry giants like OpenAI, Google, AWS, Oracle, and Microsoft, is emerging as a universal interoperability standard for AI. By simplifying the connection between AI agents and live enterprise systems, MCP reduces integration complexities and accelerates innovation. With Striim’s MCP AgentLink, enterprises can anticipate accelerating AI rollouts, deploying MCP-connected agents in days or weeks rather than months. It also promises to protect production systems by preventing query spikes, unauthorized access, and instability caused by agent traffic. Moreover, the solution ensures regulatory readiness by enforcing compliance as data streams, thereby reducing audit scope, and offers innovation without vendor lock-in, allowing the use of any LLM, MCP server, or AI agent framework.
