OriginTrail DKG MCP Server (example)

@OriginTrail

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

OriginTrail

OriginTrail DKG MCP Server について

Example python MCP server for DKG nodes

#dkg#mcp #server#origintrail

OriginTrail DKG MCP Server の設定

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": {
    "dkg-mcp-server": {
      "command": "python",
      "args": [
        "dkg_server.py",
        "--transport",
        "stdio"
      ]
    }
  }
}

OriginTrail DKG MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

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 OriginTrail DKG MCP Server (example)?

The OriginTrail DKG MCP Server connects MCP-compatible agents with the OriginTrail Decentralized Knowledge Graph (DKG), enabling the creation, retrieval, linking, and exchange of verifiable knowledge. It is beta software and not recommended for production use.

How to use OriginTrail DKG MCP Server (example)?

Clone the repository, install dependencies with Python 3.10+ and pip install -r requirements.txt, configure environment variables (ORIGINTRAIL_NODE_URL, BLOCKCHAIN, PRIVATE_KEY, GOOGLE_API_KEY), then run python dkg_server.py --transport stdio for local clients or python dkg_server.py --transport sse for server deployment. The server exposes tools such as query_dkg_by_name and create_knowledge_asset via MCP.

Key features of OriginTrail DKG MCP Server (example)

SPARQL querying of the Decentralized Knowledge Graph.
Natural language to structured JSON-LD knowledge asset creation.
Decentralized, interoperable agent memory storage.
Works with any MCP-compatible client or agentic framework.
Supports both stdio and SSE transport modes.

Use cases of OriginTrail DKG MCP Server (example)

Enabling AI agents to query and retrieve verifiable knowledge from the DKG.
Publishing structured, schema.org-compliant knowledge assets from natural language.
Storing and sharing interoperable agent memory across different MCP clients.
Integrating DKG capabilities into VS Code, Cursor, Claude, or Microsoft Copilot Studio agents.

よくある質問

Is this server ready for production?

No, it is beta software and not recommended for production use.

What are the runtime requirements?

Python 3.10+ and environment variables for ORIGINTRAIL_NODE_URL, BLOCKCHAIN, PRIVATE_KEY, and GOOGLE_API_KEY.

What transport modes are supported?

Stdio mode for local clients (VS Code, Cursor, Claude) and SSE mode for server deployment (e.g., Microsoft Copilot Studio agents).

How can I extend the server with new tools?

Define new functions in `dkg_server.py` using the `@mcp.tool()` decorator. Custom prompts can be added in the `prompts/` directory.

Which clients are compatible with this server?

Any MCP-compatible client, including VS Code, Cursor, Claude, Microsoft Copilot Studio agents, and other agentic frameworks.

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