TDengine Query MCP Server
@Abeautifulsnow
TDengine Query MCP Server について
TDengine MCP Server.
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": {
"tdengine": {
"command": "uvx",
"args": [
"tdengine-mcp-server",
"-th",
"YOUR_TDengine_HOST",
"-tu",
"YOUR_TDengine_USERNAME",
"-pwd",
"YOUR_TDengine_PASSWORD",
"-db",
"YOUR_TDengine_DATABASE",
"-ll",
"debug",
"-trans",
"stdio"
]
}
}
}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 TDengine Query MCP Server?
A Model Context Protocol (MCP) server that provides read-only TDengine database queries for AI assistants. It allows users to execute queries, explore database structures, and investigate data directly from their AI-powered tools.
How to use TDengine Query MCP Server?
Install via pip install tdengine_mcp_server, uvx tdengine-mcp-server, or run directly from source with uv run src/tdengine_mcp_server. Configure connection using command-line arguments (e.g., -th <host> -db <database>) or a .env file (which takes priority). The server works with any MCP-compatible client, including Cursor IDE and Anthropic Claude.
Key features of TDengine Query MCP Server
- Executes only read‑only SQL queries (SELECT, SHOW, DESCRIBE)
- Returns database/stable metadata and structure info
- Lists available databases and stables
- Compatible with all MCP‑supporting AI assistants
- Supports both stdio and SSE transports
- Configurable via environment variables or CLI arguments
Use cases of TDengine Query MCP Server
- Query the first 10 records of a database from an AI assistant
- Analyze sales data per region for a given month
- Inspect table schemas and metadata without writing access
- List all available databases on a TDengine instance
FAQ from TDengine Query MCP Server
What SQL operations are allowed?
Only read‑only queries: SELECT, SHOW, and DESCRIBE. INSERT, UPDATE, DELETE, CREATE, ALTER, and other write operations are blocked.
How do I configure the connection to my TDengine instance?
Set environment variables (host, port, username, password, database, timeout) in a .env file, or pass them via command‑line flags like -th, -tp, -db, etc. The .env file takes precedence.
Which AI tools can use this MCP server?
Any tool that supports the Model Context Protocol, such as Cursor IDE, Anthropic Claude, and other MCP‑compatible assistants.
Is the server secure for production use?
Yes – it enforces read‑only operations, preventing accidental or malicious data modifications. Only SELECT, SHOW, and DESCRIBE statements are allowed.
What should I do if I get a connection error?
Verify your database credentials, ensure the TDengine server is running and accessible, check firewall rules, and set LOG_LEVEL to DEBUG for more details.
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