Catalog MCP
Standalone read-only MCP server for browsing Oracle HDL business object metadata. Provides tools to search and retrieve catalog entries, components, and attributes from a local repository.
README
Catalog MCP
Standalone read-only MCP server for browsing Oracle HDL business object metadata from the local business-object ingestion repository.
The catalog index treats attributes/*.json as the source of truth. manifest.json is optional supplemental metadata used only when it matches an indexed attribute document.
Local setup
- Create a virtual environment with Python 3.10+.
- Install dependencies.
- Point
CATALOG_MCP_DATA_ROOTat the business-object ingestion repo if you do not want the default sibling path.
'/Users/justin/.cache/codex-runtimes/codex-primary-runtime/dependencies/python/bin/python3' -m venv .venv
.venv/bin/python -m pip install -e '.[dev]'
cp .env.example .env
You can optionally scope the server to one or more exact business objects:
CATALOG_MCP_ALLOWED_OBJECTS=Worker
or:
CATALOG_MCP_ALLOWED_OBJECTS=Worker,Location
Run the server
.venv/bin/python -m catalog_mcp.server
The server runs over stdio by default.
You can also use the checked-in launcher, which defaults CATALOG_MCP_DATA_ROOT to the sibling business-object repo on this laptop:
./scripts/run_catalog_mcp.sh
Register with Codex
Add the server to local Codex MCP config:
codex mcp add businessObjectCatalog -- /Users/justin/Documents/Codex/Projects/MCP/scripts/run_catalog_mcp.sh
Verify the registration:
codex mcp list
codex mcp get businessObjectCatalog
Test
.venv/bin/pytest
Run the end-to-end pressure matrix:
.venv/bin/python scripts/pressure_test_catalog.py
Public MCP surface
- Tools:
catalog_healthget_catalog_statslist_catalog_entriesget_catalog_entryget_catalog_componentget_catalog_attributesearch_catalogsearch_catalog_attributesget_related_entriesrefresh_catalog_index
- Resources:
catalog://summarycatalog://product-areascatalog://statscatalog://entries/{entry_id}
Exact-Scope Retrieval
If an agent already knows the object, component, or field, prefer exact retrieval over broad search.
Examples:
{"identifier":"Worker"}
{"identifier":"Worker","component_name":"Worker"}
{"identifier":"Worker","component_name":"Worker","attribute_name":"WorkerNumber"}
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.