Ontology Mcp Server
@mrcholis
关于 Ontology Mcp Server
暂无概览
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"ontology": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/mrcholis/ontology-mcp"
]
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
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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