Demonstrates stateful application patterns on the stateless MCP 2026-07-28 protocol, enabling request-scoped state, multi round-trip confirmations, and streaming progress updates across independent tool calls.
Enables an LLM to dynamically discover and call tools across multiple MCP servers (file, GitHub, SQL, Python execution) with authentication, rate limiting, and observability, supporting parallel execution and secure deployment.
An MCP server that exposes deterministic workflows as tools, allowing small models to reliably orchestrate APIs and other MCP servers with minimal parameters.
This MCP server provides a stateful, resettable, verifiable API runtime that gates every tool call, enabling agents to run long workflows against provider-shaped environments without live provider write access. It records decisions, side effects, and outcome evidence for replayable, verifiable benchmark runs.
