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Ontology Mcp Server

@mrcholis

Repository

About Ontology Mcp Server

No overview available yet

Basic information

Category

Other

Runtime

python

Transports

stdio

Publisher

mrcholis

Submitted by

Mark

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "ontology": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/mrcholis/ontology-mcp"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Comments

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