MCP Enterprise Kit

Give an AI agent access to your live enterprise system. It reads your data, understands your rules, and runs your workflows autonomously.

Not a chatbot. Not a dashboard. An AI employee that operates inside your ERP, CRM, HR system, supply chain platform, or any software with an API.

What This Actually Is

When people say "AI will replace jobs" they usually mean chatbots answering questions. This is different. This is an AI agent that connects directly to your enterprise system, applies your organisations specific business rules, and executes the same workflows your team does manually. Every day. In three minutes. With zero installs on a locked-down corporate machine.

Built and tested in production against a live enterprise finance system in UK public sector. First scan found duplicates worth millions that no spreadsheet, formula, or manual review had ever flagged.

How It Works

Your Enterprise System --> MCP Server (your machine) --> AI Agent --> AI Provider
   ERP / CRM / HRIS          PowerShell (Windows)         Claude Code    (inference)

The AI agent calls tools you define. Each tool makes an API call to your system and returns formatted results. The AI reasons about the results and tells you what it found. It can also write back to create draft records for human approval.

The AI never has direct access to your system. It can only do what your tools allow. You control the boundary.

What Makes This Different

Zero dependencies. Runs on PowerShell 5.1 (pre-installed on every Windows machine). No Python. No Node.js. No Docker. No admin rights. No IT ticket. No app registration. Uses your existing corporate credentials via OAuth2 device code flow.

Domain intelligence, not generic queries. Every existing AI-to-ERP integration exposes generic CRUD: list customers, update records, show orders. This kit encodes YOUR business rules into the tools. Your exclusion logic. Your validation checks. Your approval workflows. Your reconciliation processes. Thats the difference between a data access layer and an AI employee.

It writes back. This is not a read-only reporting tool. The AI creates records, populates journals, stages transactions, and drafts entries directly inside your live system. Draft records require human approval before posting. The AI does the work. The human signs off. End to end.

Pattern detection beyond formulas. The AI catches what rule-based systems structurally cannot. Same vendor, same reference, same amount, same date, different transaction ID. No VLOOKUP, INDEX/MATCH, or SQL query finds this because there is no single field to match on. The AI scans thousands of records and flags the pattern.

Use Cases (Any System, Any Industry)

Finance / ERP

Duplicate payment detection across staging tables
Payment run automation (query, validate, batch, create draft journals)
VAT/tax workings and monthly calculations
Month-end readiness checks
Bank reconciliation matching
Aged debt analysis with trend commentary

HR / People Systems

Starter and leaver checklist automation
Absence pattern detection
Payroll validation before submission
Contract renewal flagging
Training compliance gap analysis

Supply Chain / Procurement

Purchase order duplicate detection
Supplier spend analysis and anomaly flagging
Goods receipt matching against orders
Contract expiry monitoring
Price variance detection across suppliers

CRM / Sales

Pipeline hygiene checks (stale deals, missing fields, orphaned contacts)
Quote-to-order reconciliation
Customer credit limit monitoring
SLA breach detection
Renewal risk scoring

IT / Service Management

Ticket pattern detection (same issue, different reporter)
SLA compliance monitoring
Change request impact analysis
Asset lifecycle alerting
Licence utilisation reporting

Any System With an API

If your system has an API (REST, OData, GraphQL, SOAP), this pattern works. The AI agent does not care what the system is. It cares about the data structure and the rules you encode into the tools.

Quick Start

git clone https://github.com/adriangziut/mcp-enterprise-kit.git

Edit enterprise-mcp.ps1 — update Section 1 (your system URL, tenant, credentials) and Section 2 (your field names)
Save as UTF-8 with BOM
Add to VS Code MCP settings
Open Claude Code and type your first prompt

First run asks you to authenticate once. After that it auto-refreshes silently.

Security

| Concern | How Its Handled | |---------|-----------------| | System access | Uses YOUR existing credentials. Same permissions as your browser session. Nothing more. | | PII exposure | Masked at tool boundary. Names become Vendor-0001. Bank details never queried. | | Data safety | Reads from staging/buffer tables, not production ledgers. Writes create drafts requiring approval. | | Token storage | Plain text on disk (same risk as browser cookies). Revoke via identity provider if compromised. | | Network | No ports opened. No endpoints exposed. MCP runs as local subprocess via stdin/stdout. | | AI provider | Data transits during inference. Use zero data retention plans for sensitive environments. |

Full security documentation in docs/SECURITY.md.

File Structure

mcp-enterprise-kit/
  SKILL.md                    Claude Code skill file
  enterprise-mcp.ps1          MCP server (configure for your system)
  CLAUDE.md                   Daily prompt template
  docs/
    SETUP.md                  Step-by-step setup guide
    SECURITY.md               Security architecture
  examples/
    tools.ps1                 Finance, HR, and generic tool examples
  dashboard/
    README.md                 HTML dashboard documentation
  LICENSE
  README.md

The Point

This is what "AI replacing jobs" actually looks like. Not a chatbot answering questions. An AI agent that logs into your system every morning, runs the checks your team runs, catches what they miss, writes the results back as draft records, and waits for human approval. The team reviews and signs off. The AI did the work.

Three minutes instead of three hours. Every day. On any system.

License

MIT License. See LICENSE.

Author

Adrian Gziut — Software & AI Consultant

Email: gziutadrian@gmail.com
LinkedIn: linkedin.com/in/adrian-gziut-3631ab13b
Website: adrian-gziut.me

DM me on LinkedIn, email gziutadrian@gmail.com, or WhatsApp +44 7897 308 141.

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