SmartERP Documentation An Ashewa Technology Solutions Platform

Model Context Protocol (MCP) and Enterprise Knowledge Retrieval

Integrating muk_mcp, external vector databases, Retrieval-Augmented Generation (RAG), and policy document indexing.

1. Overview & Business Value#

This comprehensive operational guide details the architecture, business workflows, configuration parameters, and execution steps for Model Context Protocol (MCP) and Enterprise Knowledge Retrieval within SmartERP.

Integrating muk_mcp, external vector databases, Retrieval-Augmented Generation (RAG), and policy document indexing.

{screenshot:model-context-protocol-mcp-integration-overview-dashboard}

2. Prerequisites & Security Access Groups#

  • Required Modules: ashewa_ai_workforce, ashewa_ai_bridge, smarterp_ai_agents
  • Security Groups:
    • AI Workforce Operator (Technical ID: ashewa_ai.group_ai_operator)
    • AI Systems Administrator (Technical ID: ashewa_ai.group_ai_admin)
    • Governance Officer (Technical ID: ashewa_ai.group_ai_governance)
  • Master Data Dependencies: Autonomous AI agent profiles, n8n orchestrator webhooks, LLM model parameters, prompt governance rules, and human-in-the-loop approval queues.

3. Step-by-Step Configuration & Execution#

Step 1: Navigating to the Module Interface#

  1. Log into your SmartERP instance at https://smarterp.et/odoo.
  2. Open the main App Switcher (grid icon in the top-left corner).
  3. Select the AI Workforce app icon.
  4. From the top navigation bar, open AI Workforce → Copilots → Active Agents / Interaction History / Governance Queue.

{screenshot:model-context-protocol-mcp-integration-app-switcher-navigation}

Step 2: Creating and Parameterizing Records#

  1. Click the New button in the top-left control panel.
  2. Complete the mandatory fields in the record form:
    • Agent Name & Persona (Mandatory): Specialized AI role (Financial Auditor Copilot, SCM Copilot, etc.)
    • Target Operational Addon (Mandatory): Integrated SmartERP module (Accounting, HR, Inventory, Sales)
    • Autonomy Level (Mandatory): Level 1 Assistive, Level 2 Supervised, Level 3 Autonomous
    • Governance Gate (Mandatory): Action risk classification triggering mandatory human confirmation
  3. Configure optional operational parameters and localized tags as required:
    • Context Truncation Limit (Optional): Maximum LLM token window before historical pruning
    • Fallback Model Route (Optional): Secondary LLM provider if primary endpoint is unresponsive
    • Webhook Authentication Token (Optional): Secure shared secret for n8n workflow callback
  4. Click the Save icon in the control bar to commit the record.

{screenshot:model-context-protocol-mcp-integration-record-creation-form}

Step 3: Validating and Processing Transactions#

  • State Transitions: Execute operational state progression (Prompt Ingestion → Reasoning Chain → Action Proposal → Human Gate Approved → Executed).
  • Ledger & System Impact: Financial and inventory transactions executed by autonomous agents generate strict audit log entries tagging the AI Agent ID and human approver credentials.
  • Audit Verification: Automated recording of author ID, timestamp, and immutable revision history.

{screenshot:model-context-protocol-mcp-integration-transaction-processing-state}

The Model Context Protocol (MCP) Standard#

SmartERP implements the open Model Context Protocol (muk_mcp) to enable bi-directional communication between AI agents and external knowledge repositories, enterprise vector stores, and specialized departmental data sources.

Retrieval-Augmented Generation (RAG) Architecture#

  1. Document Ingestion: Internal enterprise policy manuals, Ethiopian tax proclamations (Proclamation 979/2016, 1156/2019), and ISO engineering standards are ingested into an enterprise vector store.
  2. Contextual Retrieval: When an AI Copilot receives an inquiry, the MCP server queries semantic vector embeddings to retrieve relevant legal and procedural context clauses.
  3. Prompt Grounding: The retrieved text is injected into the model prompt context, preventing hallucination and ensuring compliance with official institutional policies.

4. Advanced Configuration Points#

  • Automated Actions & Scheduled Tasks (Crons):
    • AI Bridge: Heartbeat check for n8n orchestrator nodes (ashewa_ai.ir_cron_heartbeat): Runs every 10 minutes to verify gateway connectivity
    • AI Governance: Auto-archive cleared approval queue tickets (ashewa_ai.ir_cron_archive_audit): Runs daily at midnight to maintain governance ledger performance
  • Custom Print Templates & Reports:
    • AI Agent Operational Execution Audit Trail
    • LLM Token Consumption & Cost Allocation Schedule
    • Human-in-the-Loop Decision & Override Ledger
    • Agent Workflow Error & Latency Analysis
  • Multi-Company Rules: Record-level security isolation under Company 1 (Ashewa Technology Solutions S.C.), preventing cross-company ledger leakage across parent and subsidiary legal entities.

5. Comprehensive Troubleshooting Matrix#

Error Symptom / ExceptionProbable Root CauseCorrective Action / Resolution
Connection Refused: n8n webhook unreachableEndpoint URL invalid, orchestrator service offline, or network firewall block.Check n8n service health and update bridge URL in AI Workforce Settings.
Token Limit Exceeded: Context window exhaustedPrompt context exceeds configured model maximum token threshold.Enable automatic context pruning and reduce historical message buffer in agent settings.
Governance Block: High-risk action requires human approvalAgent attempted financial posting or document deletion above autonomy threshold.Review and approve the pending transaction in the Human-in-the-Loop Governance Queue.
Last updated: 2026-10-30