An MCP server for TiDB Cloud Lake.
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# MCP Server for TiDB Cloud Lake [](https://pypi.org/project/tidbcloudlake-mcp) Connect AI agents to your TiDB Cloud Lake database safely. Session sandbox keeps production read-only while agents experiment. Works with Codex, Cursor, Claude Code, Gemini CLI, and any MCP-compatible client. ## Usage 1. Get your TiDB Cloud Lake DSN. Format: `lake://user:password@host:port/database?warehouse=your_warehouse` Get it from TiDB Cloud Lake or your project connection settings. 2. Session sandbox safety: writes only to `mcp_sandbox_{session_id}_*`; production stays read-only. Use `get_session_sandbox_prefix` to retrieve the live prefix. 3. Configure your MCP client. **Standard config** works in most tools: ```js { "mcpServers": { "lake-mcp": { "command": "uv", "args": ["tool", "run", "--from", "tidbcloudlake-mcp@latest", "lake-mcp"], "env": { "LAKE_DSN": "lake://user:password@host:port/database?warehouse=your_warehouse" } } } } ``` <details> <summary>Codex</summary> ```bash codex mcp add lake-mcp \ --env LAKE_DSN='lake://user:password@host:port/database?warehouse=your_warehouse' \ -- uv tool run --from tidbcloudlake-mcp@latest lake-mcp ``` </details> <details> <summary>Claude Code</summary> ```bash claude mcp add lake-mcp \ --env LAKE_DSN='lake://user:password@host:port/database?warehouse=your_warehouse' \ -- uv tool run --from tidbcloudlake-mcp@latest lake-mcp ``` </details> <details> <summary>Cursor</summary> Add a new MCP server with command `uv tool run --from tidbcloudlake-mcp@latest lake-mcp`, then set `LAKE_DSN` in the env section. ```json { "mcpServers": { "lake-mcp": { "command": "uv tool run --from tidbcloudlake-mcp@latest lake-mcp", "env": { "LAKE_DSN": "lake://user:password@host:port/database?warehouse=your_warehouse" }, "args": [] } } } ``` </details> <details> <summary>Gemini CL…
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