Fusion Schema MCP Server

Fusion Schema MCP Server

Grounds a Fusion-SQL agent against Oracle Fusion schema catalog, enabling table/column search, validation, and relationship discovery.

Category
Visit Server

README

Fusion Schema MCP Server

Standalone HTTP MCP server that grounds a Fusion-SQL agent against the Oracle Fusion schema catalog. The models already know most Oracle ERP names (from EBS on-prem), but Fusion Cloud ≠ EBS — so these tools validate and correct the objects/columns the agent thinks it knows, and surface real join paths (declared FKs + mined relationships).

Scope: grounding only. No SQL parsing, no SQL execution/validation (that needs a live Oracle DB — later round). No agent, no CloudBeaver UI (later rounds).

Tools

Tool Purpose
searchTables(query, limit?) FTS over name + description + module; discovery by description
getTable(name) metadata: type, module, description, primary key, column count
getColumns(table) columns with type/size/nullable/description/PK flag
validateTable(name) exists? + fuzzy "did-you-mean" (EBS→Fusion drift)
validateColumns(table, columns[]) per-column exists + suggestions
getIndexes(table) indexes with ordered columns + uniqueness
getRelatedTables(table) declared FKs + mined relationships, tagged + confidence = join paths

Data

data/ holds the source metadata (copied from ../../Bip/DB_SCHEMA via scripts/copy-data.sh): META_TABLES/COLUMNS/INDEXES/PKEYS/FKEYS.csv + mined_relationships.json. The compile step filters junk table rows to TABLE/VIEW and builds catalog.sqlite (FTS5 + lookup indexes).

Build & run (CloudBeaver WSL distro)

All commands run inside the CloudBeaver WSL distro. Scripts avoid PowerShell→wsl quoting.

# 1. copy source data into ./data (once)
bash scripts/copy-data.sh

# 2. install deps, build TS, compile catalog.sqlite
bash scripts/install-build-compile.sh

# 3. boot + live smoke test (starts server, runs a real MCP client, asserts acceptance criteria)
bash scripts/verify.sh

Docker (the shipping form)

docker compose build
docker compose up -d
curl http://localhost:8979/health

The multi-stage image compiles the catalog at build time and ships only dist/ + catalog.sqlite (the 250MB CSVs are dropped from the runtime image).

Connecting an agent

Point any MCP client at the Streamable-HTTP endpoint:

http://<host>:8979/mcp

e.g. Claude Agent SDK / Codex SDK mcpServers config, or the MCP inspector.

Env

Var Default Meaning
MCP_PORT 8979 HTTP port
MCP_HOST 0.0.0.0 bind host
CATALOG_DB ./catalog.sqlite catalog path
DATA_DIR ./data source CSV/JSON dir (compile step)
MCP_URL http://127.0.0.1:8979/mcp smoke-client target

Recommended Servers

playwright-mcp

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.

Official
Featured
TypeScript
Magic Component Platform (MCP)

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.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

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.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

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.

Official
Featured
TypeScript
Kagi MCP Server

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.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

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.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured