Smartstream announces two new MCP servers for Smart Collateral
Smartstream, a data solutions provider for financial institutions and enterprises, today announces two new Model Context Protocol (MCP) servers for Smart Collateral, enabling dynamic, agentic collateral operations.
Firms can connect an MCP-compatible AI assistant directly to their collateral management platform and interact with it conversationally, giving teams instant answers and controlled workflow automation while retaining full governance and oversight.
“Collateral teams spend too much of their day hunting for answers and writing integration code,” said Jason Ang, Program Manager for Smart Collateral at Smartstream. “These MCP servers let firms point an AI assistant of their choosing straight at Smart Collateral, interrogating reporting data on demand, operating the integration APIs and, only where they choose to enable it, acting under their control. Because we ship domain skills alongside the tools, the assistant already understands collateral workflows, so teams get accurate answers immediately rather than spending months bridging prompts to outcomes. It is an open, standards-based approach that keeps our clients in charge of their data, their workflows and their governance.”
- The first server turns Smart Collateral’s integration APIs into a secure toolset an AI assistant can operate directly, spanning agreements, positions, margin activity and interest calculations. It can also pre-validate a proposed movement against Smart Collateral’s existing eligibility and concentration rules before anything is executed. Write actions are switched off by default and enabled one at a time.
- The second gives AI assistants read-only access to Smart Collateral’s reporting database. A question returns a concise answer instead of a trail of reports, and dashboards can be assembled quickly as they are needed.
The same infrastructure also supports development teams, helping them scaffold integration code, generate reconciliation and exception-handling routines, and prototype automation workflows, all still subject to each firm’s normal review, testing and deployment process.
The result is a simpler, more intuitive operating experience: less navigation, faster answers, trusted data and governed actions, all delivered through a single conversation between teams and their collateral data.
