What transport modes are supported?
The server supports two modes: Streamable HTTP (unified HTTP endpoint for both request/response and streaming) and Stdio (standard input/output for direct integration with MCP clients).
@FreeOnePlus
基本情報
Apache Doris MCP Server
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": {
"doris-mcp-server-freeoneplus": {
"command": "docker",
"args": [
"build",
"-t",
"doris-mcp-server",
"."
]
}
}
}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。
Doris MCP Server is a backend service built with Python and FastAPI that implements the Model Context Protocol (MCP). It connects to Apache Doris databases and can leverage Large Language Models (LLMs) for tasks like converting natural language queries to SQL (NL2SQL), executing queries, and performing metadata management and analysis.
Install via pip install doris-mcp-server. Start the server in Streamable HTTP mode with database connection details (e.g., doris-mcp-server --transport http --db-host 127.0.0.1 --db-port 9030 --db-user root --db-password your_password) or in Stdio mode for direct integration with MCP clients like Cursor (doris-mcp-server --transport stdio). Configuration can also be set via environment variables.
The server supports two modes: Streamable HTTP (unified HTTP endpoint for both request/response and streaming) and Stdio (standard input/output for direct integration with MCP clients).
Authentication can use Token, JWT, or OAuth mechanisms. A web-based token management dashboard (restricted to localhost) allows creation, revocation, and database binding of tokens.
It connects to an Apache Doris instance. Connection details (host, port, user, password, database) are required either via command-line arguments or environment variables.
Python 3.12+ and an accessible Apache Doris database. The server is built on FastAPI and uses optional ADBC (Apache Arrow Flight SQL) for high‑performance data retrieval.
No. The token management dashboard is intentionally restricted to localhost (127.0.0.1 and ::1) for maximum security.
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