Ontology Mcp Server
@mrcholis
Ontology Mcp Server について
概要はまだありません
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"ontology": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/mrcholis/ontology-mcp"
]
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is Ontology MCP Server?
Ontology MCP Server ingests ISO 20022 XML banking messages, extracts structured financial signals, builds an RDF knowledge graph, and exposes it as native tools for any MCP-compatible AI agent. It is designed for banks, fintechs, and payment processors who need to query interconnected payment messages.
How to use Ontology MCP Server?
Install via pip install ontology-mcp and run python mcp_server.py. Alternatively, use Docker: docker pull ghcr.io/mrcholis/ontology-mcp:latest and docker run .... Connect any MCP client (e.g., Claude Desktop) by adding the server to your claude_desktop_config.json. A demo can be run with python -m ontology_mcp.demo.
Key features of Ontology MCP Server
- Ingests ISO 20022 XML into a queryable knowledge graph.
- Exposes 11 MCP tools for AI agents.
- Supports pacs.008, pacs.009, camt.053/054/056/026/029.
- Persistent storage with Oxigraph (RocksDB-backed).
- Real-time WebSocket streaming ingest.
- Built-in anomaly detection for high-value transactions.
Use cases of Ontology MCP Server
- Trace the full lifecycle of a payment cancellation.
- Find all transactions over $50
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