Bridging the Gap Between AI and Precision Math
The Model Context Protocol (MCP)
Modern Large Language Models (LLMs) like Claude, Gemini, and GPT-4 are incredibly capable, but they have a fundamental weakness: Complex Math with Arbitrary Rules. In the world of institutional bond math, "close enough" is a hallucination that could cost millions.
The Problem: AI Math Hallucination
When you ask an AI to "calculate the yield on a 10-year Corporate Bond," it often attempts to guess the calculation using its internal training data. It might get the formula roughly right, but it often misses critical details like Quasi-coupon odd period logic, Day count conventions, MSRB Rule G33, or Simple vs. compund interest application.
The Solution: SSCMFI as a Tool
The Model Context Protocol (MCP) allows us to expose the SSCMFI engine directly as a "Tool" within your AI session. Instead of the AI doing the math, it simply calls our engine.
No Hallucinations
The AI receives the result from our verified, industry standard, calculation engine, not its own internal guesses.
Native Connectivity
Connect instantly to Claude Desktop or any MCP-compliant client using our official spec.
Intelligent Defaults
The AI only needs to provide basics; we handle the institutional complexity automatically.
Ready to see it in action?
Visit our Live Demo to see how "Lite" AI requests are transformed into institutional results, or browse the Tool Reference to start building your own agent.