Production Grade Mcp Agentic System
Description
Building a Production-Grade MCP Server Architecture with a Multi-Agent System
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
🏛️ Production-Grade MCP Server + Agentic System
*A reference implementation of an MCP server designed to actually ship*
*Multi-tenant · Authenticated · Observable · Rate-limited · Cached · Circuit-broken · Governed*
[](https://www.python.org/downloads/) [](https://modelcontextprotocol.io) [](./LICENSE) [](https://docs.docker.com/compose/)
📖 Full Step-by-Step Blog Walkthrough
This repository is the companion codebase for a long-form blog post that walks through every single component end to end, with every line of code explained in context. **Start there if you want to understand the "why" behind the architecture before reading the code.**
🔗 [**Building a Production-Grade MCP Server Architecture with Agentic System →**](https://medium.com/@fareedkhandev/building-a-production-grade-mcp-server-architecture-with-agentic-system-de92127aca6f)
🎯 What This Is
Most MCP tutorials end with a `@tool` decorator that returns `"hello world"`. That is fine for a demo. It is not what ships.
This repository is a **reference implementation of an MCP server designed to run in production**: multi-tenant, authenticated, observable, rate-limited, cached, circuit-broken, and governed. It exposes a company's heterogeneous data layer (Postgres, Elasticsearch, S3, vector DB) to AI agents as a single, secure tool surface, and ships with a **four-agent support copilot** (Planner → Retriever → Synthesizer → Critic) that uses it end
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