AI MCP Gateway

# Feature Summary — AI MCP Gateway This document provides a concise, high-level summary of the project's main features and components. ## 1) Core Gateway - N-layer routing (L0 → L3): attempt low-cost/free models first, escalate when needed. - Priority-based selection within each layer; deterministic fallback and retries. - Provider abstraction: supports OpenRouter, OpenAI, Anthropic, and on-prem OSS models. - Per-project budgets and cost tracking with enforcement to prevent overspend. - HTTP API compatible with OpenAI-style endpoints for easy client integration. ## 2) MCP Server - Runs as a standalone Model Context Protocol (MCP) server for clients like Claude Desktop and VS Code. - Exposes MCP tools for task-specific operations (chat routing, code analysis, network ops, cost reports). - Configurable transport and logging options. ## 3) Admin Dashboard (React) - Real-time metrics: requests, tokens, costs, latency, and provider health. - Model and provider management: enable/disable, priority, layer, API keys. - Alerts & notifications: set thresholds and delivery channels. - Web Terminal: execute commands (local/SSH/Telnet) with command history and autocompletion. ## 4) CLI (`mcp`) - Developer-focused utilities: `mcp code`, `mcp create-project`, `mcp mcp-serve`, and admin helpers. - `mcp code` supports preview mode, safe apply (`--apply`) with backups, and auto file selection from prompts. - Non-destructive defaults: preview only, explicit `--apply` to write; interactive confirm and `--yes` for CI. ## 5) Data & Persistence - PostgreSQL: primary storage for models, configuration, and analytics. - Redis: optional caching layer for rate-limiting, session cache, and short-lived state. - Migrations included under `migrations/`. ## 6) Integrations & Extensibility - Provider adapters: implement new providers with a clear adapter interface. - MCP tool extensions: add task-specific MCP tools that map to router/adapter flows. - Plugin points: middleware hooks for request enrichment, auditing, and custom routing policies. ## 7) Testing & Deployment - Unit tests with Vitest, E2E with Playwright. - Docker & docker-compose for local full-stack development and staging deployment. - CI-friendly CLI usage: non-interactive flags for automated workflows. ## 8) Security & Governance - Secrets management via environment variables; recommend vault or KMS for production. - Role-based access controls in the Admin Dashboard (planned/extension point). - Audit logs for request tracing and cost attribution. --- If you want, I can: - Expand each section into a full `docs/` page (architecture, operations, developer guide). - Update `docs/ARCHITECTURE.md` and `docs/API-GUIDE.md` to link and reference these summaries. - Generate a short `RELEASE_NOTES.md` style changelog for contributors. Which of the above should I do next?