oracle-eim-dq
Enables governed, read-only EIM data-quality checks against Oracle On-Prem and ATP by loading ACTIVE rules and running approved aggregate SQL to produce Markdown reports.
README
Oracle EIM Data Quality
Standalone MCP server for governed EIM data-quality checks against On-Prem Oracle and Oracle ATP. This is not the Oracle MCP chatbot.
The chatbot project (oracle-mcp-chatbot) answers natural-language questions.
This project loads ACTIVE rules from EIM_APPS.EIM_DQ_RULES_LOOKUP, runs
approved read-only SQL, and returns a director-ready Markdown report. An
optional isolated writer can atomically persist governed summaries and failed
record details without enabling arbitrary DML.
pip install --target .pydeps -r requirements-dev.txt
PYTHONPATH=.pydeps:src pytest
cp .env.example .env # add credentials
PYTHONPATH=.pydeps:src python -m oracle_mcp.server --profile both --check
PYTHONPATH=.pydeps:src python -m oracle_mcp.server --profile both
Rule workflow and report contract: docs/data-quality-framework.md.
What it does
| Capability | How |
|---|---|
| Separate from the chatbot | Own repo, own MCP server name oracle-eim-dq |
| ACTIVE rules only | Catalog filter RULE_STATUS = 'ACTIVE' |
| Checkpoint context | REFERENCE_CHECKPOINT is narrative, never executed as SQL |
| Read-only source access | AST guard plus SET TRANSACTION READ ONLY |
| Metrics | Total, failed, pass %, failure %, severity |
| Persisted reconciliation | Fixed parameterized INSERTs through a separate writer |
| Trend | Like-for-like population signature vs persisted history |
MCP tools
list_active_dq_rulesexecute_data_quality_ruleexecute_and_persist_data_quality_rule(registered only when persistence is enabled)- plus the same read-only discovery/validate/execute tools used to confirm objects
Enable persistence
Persistence is disabled by default. Have a DBA review and run
sql/04_dq_results_schema.sql, then configure the separate DQ_WRITE_*
credentials in .env and set:
ORACLE_MCP_DQ_PERSISTENCE_ENABLED=true
The writer receives INSERT only on EIM_APPS.EIM_DQ_RECON_SUMMARY and
EIM_APPS.EIM_DQ_FAILED_RECORDS. It must not reuse the read-only account.
Retention/purge is DBA-owned; the MCP process has no DELETE privilege.
Cursor MCP
Point Cursor at mcp-clients/cursor-mcp.json (replace absolute paths). The
workspace .cursor/mcp.json should register oracle-eim-dq with cwd set to
this repository, not oracle-mcp-chatbot.
Test locally
Run these commands from this repository:
# 1. Unit and security tests (no database required)
PYTHONPATH=.pydeps:src .pydeps/bin/pytest -q
# 2. Verify both Oracle connections
PYTHONPATH=.pydeps:src python3 -m oracle_mcp.server --profile both --check
# 3. Verify the MCP tool surface and read the live ACTIVE-rule catalog
PYTHONPATH=.pydeps:src python3 scripts/verify_dq.py
Expected live verification:
{
"status": "OK",
"server": "oracle-eim-dq",
"databases": ["ATP", "ONPREM"],
"dq_tools": ["execute_data_quality_rule", "list_active_dq_rules"]
}
If active_rule_count is 0, connectivity and MCP are working but the governed
catalog has no ACTIVE rules yet. Populate and approve catalog rows outside this
read-only application, then rerun the verification.
After changing .cursor/mcp.json, reload Cursor's MCP servers. In chat, first
ask: List the active EIM data-quality rules. Do not attempt a rule execution
until that call returns an ACTIVE rule ID.
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