@b0ttle-neck
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"steampipe": {
"command": "uv",
"args": [
"--directory",
"/Users/yourname/dev/mcp-steampipe",
"run",
"steampipe_mcp_server.py"
],
"env": {}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A simple MCP server that acts as a bridge between an AI model (such as Claude) and the Steampipe tool, enabling natural language queries to be translated into Steampipe SQL queries and executed against configured plugins.
Install prerequisites (Python 3.10+, uv, Steampipe with a configured plugin), then run the MCP Inspector with npx -y @modelcontextprotocol/inspector uv --directory . run steampipe_mcp_server.py. After verifying the tool works, add the server configuration to your MCP-supporting LLM (e.g., Claude) and select the run_steampipe_query tool from the LLM interface.
run_steampipe_query tool to the AI modelPython 3.10 or later, the `uv` package manager with `mcp[cli]`, a working Steampipe installation with at least one plugin configured (e.g., GitHub with credentials in `~/.steampipe/config/github.spc`), an MCP-supporting LLM (e.g., Claude), and Node.js with npx.
Run the MCP Inspector: `npx -y @modelcontextprotocol/inspector uv --directory . run steampipe_mcp_server.py`. In the browser UI, connect, go to the Tools tab, select `run_steampipe_query`, and supply a valid Steampipe query (e.g., `select name, fork_count from github_my_repository`).
Check that the `@mcp.tool()` decorator is properly applied in the Python script.
Look at the "Result" panel in the Inspector and the server logs (stderr) in your terminal. Inspect whether Steampipe ran, if there was a SQL error, timeout, or JSON parsing issue. Additionally, check the Claude logs: `tail -f ~/Library/Logs/Claude/mcp.log` or `tail -f ~/Library/Logs/Claude/mcp-server-steampipe.log`.
The AI model blindly executes any SQL query you generate, so there is a possibility to create and execute arbitrary SQL queries via Steampipe using your configured credentials. Use with caution.
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