How do I use Oracle Readiness MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Oracle Readiness MCP Server search for new HCM features in 26C" 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.

Oracle Readiness MCP Server

by stockem76

Overview Schema Related Servers Score Discussions

Python

Remote

Oracle Readiness MCP Server — Unified Podman Solution

A single Podman container that:

Periodically scrapes Oracle Cloud Applications readiness pages (HCM, ERP, SCM, Service, News)
Persists rich feature data to a SQLite database
Exposes an MCP server over Streamable HTTP (or stdio)

What's inside

File	Role
`oracle_scraper.py`	Dual-strategy scraper: docs.oracle.com catalogue (markdownify) + oracle.com what's-new tables (BeautifulSoup). Merges both into a rich feature schema.
`db.py`	SQLite persistence — features, crawl log, document content cache
`server.py`	FastMCP server — 18 tools covering list/search/filter/compare/report/content
`scheduler.py`	Standalone refresh script for cron / sidecar use
`Dockerfile`	Slim Python 3.12 image (OCI-compatible)
`docker-compose.yml`	Single-service podman-compose file with named volume

Related MCP server: ERP-File MCP Server

MCP Tools provided

Tool	Description
`list_products`	List tracked Oracle Cloud pillars
`get_cache_status`	Per-product refresh times, entry counts, content cache stats
`list_releases`	All indexed release codes (26C, 26B…)
`list_product_families`	Product families, optionally filtered to a release
`list_modules`	Modules for a release / product family
`get_release_notes`	All entries for a pillar, optionally filtered by release
`search_release_notes`	Full-text search across titles, descriptions, modules
`get_features_by_module`	All features for a release + module
`get_feature_summary`	Statistical summary (impact, setup, AI, Redwood counts)
`get_opt_in_features`	Features requiring Opt-In action
`get_setup_required_features`	Features requiring Setup configuration
`get_high_impact_features`	Large-scale impact features
`get_auto_enabled_features`	Features auto-enabling in a future update
`get_ai_features`	AI / Agent / Generative features
`get_redwood_features`	Features using Oracle Redwood UI
`compare_releases`	Diff two releases for a module (added/changed/removed)
`generate_report`	Filtered report (Pillar/Module/Update/query) with optional full document text
`get_document_content`	Download + cache full text of a readiness document (HTML→MD or PDF text)
`refresh_readiness_data`	Trigger an immediate refresh instead of waiting for the schedule
`ingest_xlsx_dump`	Load features from an Oracle Readiness Reports Centre XLSX JSON dump

Quick start

# 1. Clone / copy this directory
cd unified-docker

# 2. Copy and (optionally) edit the env file
cp .env.example .env

# 3. Build and start
podman-compose up -d --build

# 4. Check logs
podman-compose logs -f oracle-readiness-mcp

# 5. Test the health endpoint
curl http://localhost:8080/health

Connecting an MCP client

Claude Desktop / Claude Code (stdio via Podman)

{
  "mcpServers": {
    "oracle-readiness": {
      "command": "podman",
      "args": ["exec", "-i", "oracle-readiness-mcp", "python", "server.py"]
    }
  }
}

HTTP (Streamable MCP)

MCP URL: http://localhost:8080/mcp

If READINESS_TOKEN is set:

Authorization: Bearer <your-token>

ICA (Context Studio) Connector Configuration

Field	Value
Name the connection	`Oracle Readiness MCP`
Choose a data source	`Others`
DataSource Type	`framer`
Connection URL	(leave blank — not used for MCP)
Connection Token	`<your READINESS_TOKEN>` (or leave blank if no auth)
MCP URL	`http://<podman-host>:8080/mcp`
Re-Ingestion Required	☐ (unchecked — server keeps its own refresh schedule)

Replace <podman-host> with your Podman host IP or hostname. On a local machine: http://localhost:8080/mcp (Podman runs rootless — no special hostname needed).

Data persistence

Data is stored in a named Podman volume oracle-readiness-data at /data inside the container:

/data/readiness.db — SQLite feature database
/data/reports/ — generated report files (JSON + Markdown)

Manual refresh

# Refresh all products immediately
podman exec oracle-readiness-mcp python scheduler.py

# Refresh only HCM and ERP
podman exec oracle-readiness-mcp python scheduler.py hcm erp

Environment variables

Variable	Default	Description
`READINESS_DATA_DIR`	`/data`	Data directory for SQLite DB and reports
`READINESS_REFRESH_HOURS`	`6`	Hours between background refreshes
`READINESS_AUTOSTART_REFRESH`	`1`	Set to `0` to disable background refresh
`READINESS_HTTP_PORT`	`8080`	HTTP port to bind
`READINESS_TOKEN`	(empty)	Bearer token for HTTP auth

This server cannot be installed

license - not found

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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