What transport modes does Altinity Mcp support?
It supports STDIO for local workflows, HTTP for REST-style calls, and SSE for streaming responses.
@Altinity
基本情報
**Altinity MCP Server** is a production-ready MCP server designed to empower AI agents and LLMs to interact seamlessly with ClickHouse. It exposes your ClickHouse database as a set of standardized tools and resources that adhere to the MCP protocol, making it easy for agents buil
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": {
"altinity-mcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"JWE_SECRET_KEY=<string-for-decrypt-auth-tokens>",
"ghcr.io/altinity/altinity-mcp"
],
"env": {
"JWE_SECRET_KEY": "<string-for-decrypt-auth-tokens>"
}
}
}
}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。
Altinity Mcp is a production-ready MCP (Model Context Protocol) server that enables AI agents and LLMs to interact seamlessly with ClickHouse databases. It exposes ClickHouse as standardized tools and resources, allowing agents built on OpenAI, Claude, or other platforms to query, explore, and analyze data without direct database access.
Configure the server via environment variables, a YAML/JSON configuration file, or CLI flags, with hot-reload support for dynamic adjustments. Run it locally using STDIO transport for embedded agents, or via HTTP/SSE for remote, streaming, or REST-style access.
It supports STDIO for local workflows, HTTP for REST-style calls, and SSE for streaming responses.
The server supports optional JWE token authentication, JWT signing, and TLS for both the MCP server and the underlying ClickHouse connection.
Yes, it introspects the ClickHouse schema and automatically generates MCP resources such as tables, views, and sample data, so agents understand your data context.
Yes, Altinity Mcp includes hot-reload support, allowing you to adjust configuration without a full restart.
When HTTP or SSE mode is enabled, the server generates a full OpenAPI v3 specification describing all tools and endpoints, making it easy for platforms like OpenAI to discover and call your tools.
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