What transport modes does Altinity Mcp support?
It supports STDIO for local workflows, HTTP for REST-style calls, and SSE for streaming responses.
@Altinity
基本信息
**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
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"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>"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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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