ReAI MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@ReAI MCP Serversearch v10v11 mappings for GL transaction"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
ReAI MCP Server
MCP (Model Context Protocol) server that provides Kiro Web access to ReAI's core capabilities for FSM report migration analysis.
Tools
Tool | Description |
| Fuzzy search 967+ S3/Lawson to FSM report mappings with navigation paths |
| List all FSM modules with report counts |
| Database overview: totals, module breakdown |
| Fuzzy search 617+ report migration patterns from 11 clients |
| Get standardization opportunities (multi-client patterns) |
| Pattern registry statistics by process and complexity |
| Generate Columnar LPL code package (.form, .list, .field, .csv) |
Installation
For Kiro Web (recommended)
Add to Kiro Web MCP settings:
{
"mcpServers": {
"reai": {
"command": "npx",
"args": ["-y", "github:van0219/reai-mcp#main"],
"env": {
"REAI_DATA_DIR": "/path/to/reai_web/data"
}
}
}
}For Local Development
cd reai-mcp
npm install
npm startEnvironment Variables
Variable | Description | Default |
| Directory containing SQLite databases |
|
| Full path to v10v11_mapping.db |
|
| Full path to bre100_registry.db |
|
Note: You typically don't need to set any env vars. The databases are bundled. Only set REAI_DATA_DIR if you want to point to a different copy (e.g., the Hub's reai_web/data/ for live writes).
Database Requirements
The server bundles two SQLite database files in its data/ folder — they ship with the package automatically:
v10v11_mapping.db (352KB) — S3/Lawson to FSM report mapping
LawsonReportMappingtable: id, report_code, report_name, status, module, descriptionFSMNavigationtable: id, report_id, navigation_path, path_order
bre100_registry.db (283KB) — BRE-100 pattern registry
patternstable: id, report_name, business_process, fsm_classification, navigation, future_state, tool_selection, timeline_estimate, complexity, comments, utilization_count, client_projects, created_at, updated_at
No additional setup needed — npx github:van0219/reai-mcp#main includes everything.
Updating the Databases
The databases grow as new clients are onboarded and patterns are discovered. To update:
From the Hub (Kiro IDE)
The Hub's native ReAI tool writes directly to reai_web/data/*.db via better-sqlite3. When patterns are added/edited in the Hub UI, those databases are the source of truth.
To sync updates to the MCP server:
Copy the updated databases from the Hub repo to the MCP repo:
cp reai_web/data/v10v11_mapping.db reai-mcp/data/ cp reai_web/data/bre100_registry.db reai-mcp/data/Commit and push:
cd reai-mcp git add data/ git commit -m "Update databases (new patterns/mappings)" git pushNew Kiro Web sessions auto-fetch the latest
#main— no config change needed.
From Kiro Web
Ask Kiro: "Copy the latest ReAI databases from the Hub repo to the reai-mcp repo and push them."
Kiro Web can clone both repos, copy the .db files from fsm_innovationhub_landingpage/reai_web/data/ to reai-mcp/data/, and push.
Database Locations Summary
Context | Location | Writable |
Hub (desktop) |
| Yes (via UI + IPC handlers) |
MCP server (Kiro Web) |
| Read-only (query only) |
Override | Set | Depends on path |
Example Usage
Search V10-V11 Mappings
Use reai_search_v10v11 with query "GL Transaction" to find how S3 General Ledger reports map to FSM.Search BRE-100 Patterns
Use reai_search_bre100 with query "asset depreciation" to find known migration patterns.Generate Columnar Report
Use reai_generate_columnar with:
- report_name: "GLTransactionDetail"
- business_class: "GLTransactionDetail"
- fields: [{"name": "Company"}, {"name": "TransactionAmount"}, {"name": "PostingDate"}]Author
FSM Innovation Hub — Infor Manila FSM Team
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