What runtime dependencies does it require?
Python 3.13 or higher is required. The recommended way to run it is via `uvx` (from `uv` package manager) or using Docker.
@amineelkouhen
基本情報
The CockroachDB MCP Server is a natural language interface designed for agentic applications to manage, monitor and query data in CockroachDB.
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": {
"cockroach": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e",
"CRDB_HOST=<cockroachdb_host>",
"-e",
"CRDB_PORT=<cockroachdb_port>",
"-e",
"CRDB_DATABASE=<cockroachdb_database>",
"-e",
"CRDB_USERNAME=<cockroachdb_user>",
"mcp-cockroachdb"
]
}
}
}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。
Cockroachdb MCP Server is a natural language interface that enables LLMs and agentic applications to manage, monitor, and query data in CockroachDB. It integrates with MCP (Model Context Protocol) clients such as Claude Desktop and Cursor, allowing AI-driven workflows to interact directly with the database.
Install and run the server using uvx with a CockroachDB connection URI or individual parameters. Alternatively, use a Docker image or clone the repository for development. Configure via command-line arguments or environment variables (e.g., CRDB_HOST, CRDB_PORT, CRDB_DATABASE). Connect any MCP client (like Claude Desktop) by editing its config file to point to the server.
Python 3.13 or higher is required. The recommended way to run it is via `uvx` (from `uv` package manager) or using Docker.
You can provide a connection URI (`--url postgresql://user:pass@host:port/db`) or specify individual parameters like `--host`, `--port`, `--db`, `--user`, and `--password`. SSL/TLS options are also available for secure connections.
Currently only the `stdio` transport is supported. Support for `streamable-http` transport will be added in a future release.
The server connects to your own CockroachDB instance; it does not store data itself. All data operations are executed directly against the database you specify.
The `main` branch is under active development and may contain breaking changes. It is recommended to use a tagged release (e.g., `0.1.0`) for stable usage.
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