CASE STUDY 05 // AI AGENTS & MCP
Autonomous Tool-Using AI Agents & MCP Servers
Connecting foundation LLM reasoning to mission-critical enterprise systems, core banking APIs, CAMS databases, and 11+ automated n8n workflows with standardized Model Context Protocol (MCP) tooling and deterministic guardrails.
ACTIVE TOOLS
30+ Production MCP Tools
WORKFLOW PIPELINES
11+ n8n Workflows
SECURITY MODEL
Tiered Role-Based Auth
EXECUTION RUNTIME
FastMCP / Starlette
Why Model Context Protocol (MCP)?
Standardized MCP replaces custom, brittle tool-calling glue code with deterministic JSON-RPC specifications. Agents can query schemas, validate types dynamically, execute parameterized actions across microservices, and log audit hashes for regulatory compliance.
- Production FastMCP server hosting 30+ validated tool endpoints.
- Secure session tokens and PAN tokenization preventing sensitive data exposure to LLM backends.
- Multi-turn agent planning with fallback loops for database or API timeouts.
- Seamless integration with modern workflow automation platforms (n8n, Python, Docker).