PromptQL MCP Server
@hasura
关于 PromptQL MCP Server
Model Context Protocol (MCP) server for Hasura PromptQL
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"promptql-mcp": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}工具
未检测到工具
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。
概览
What is PromptQL MCP Server?
It bridges Hasura’s PromptQL data agent with AI assistants via the Model Context Protocol (MCP), enabling natural language queries against enterprise data. The server is currently unstable and only for PromptQL v1; an alpha release for v2 is coming soon.
How to use PromptQL MCP Server?
Install from source by cloning the repository, creating a Python 3.10+ virtual environment, and running pip install -e .. Configure credentials with python -m promptql_mcp_server setup (using flags for API key, playground URL, auth token, and auth mode) or via environment variables (PROMPTQL_API_KEY, PROMPTQL_PLAYGROUND_URL, PROMPTQL_AUTH_TOKEN, PROMPTQL_AUTH_MODE). For Claude Desktop, add the server to the MCP configuration JSON, pointing to the Python executable.
Key features of PromptQL MCP Server
- Natural language data queries in plain English
- Table artifact support for formatted results
- Secure configuration for API credentials
- Dual authentication modes (public and private DDN)
- Data analysis and visualization insights
- Simple integration with MCP-compatible clients
Use cases of PromptQL MCP Server
- Ask “What were our total sales last quarter?”
- Request “Who are our top five customers by revenue?”
- Analyze “Show me the trend of new user signups over the past 6 months”
- Query “Which products have the highest profit margin?”
- Perform multi-turn conversational data analysis with context retention
FAQ from PromptQL MCP Server
What authentication modes does PromptQL MCP Server support?
It supports two modes: public (default, uses Auth-Token header for public DDN endpoints) and private (uses x-hasura-ddn-token header for private/internal DDN deployments).
What are the prerequisites for using PromptQL MCP Server?
Python 3.10 or higher, a Hasura PromptQL project with API key, playground URL, and DDN Auth Token, and an MCP-compatible client such as Claude Desktop.
How do I configure credentials for PromptQL MCP Server?
You can run python -m promptql_mcp_server setup with --api-key, --playground-url, --auth-token, and --auth-mode flags, or set the environment variables PROMPTQL_API_KEY, PROMPTQL_PLAYGROUND_URL, PROMPTQL_AUTH_TOKEN, and PROMPTQL_AUTH_MODE.
What tools does PromptQL MCP Server expose?
It exposes start_thread, start_thread_without_polling, continue_thread, get_thread_status, cancel_thread, setup_config, and check_config as MCP tools, plus a data_analysis prompt.
How do I switch between public and private authentication modes?
Reconfigure the server using the --auth-mode flag (public or private) in the setup command or update the PROMPTQL_AUTH_MODE environment variable accordingly.
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