Dbecho MCP Server

@ginkida

リポジトリ

基本情報

カテゴリ

データベース

トランスポート

stdio

作者

ginkida

投稿者

Sungat Arynov

Dbecho MCP Server について

MCP server for multi-database PostgreSQL analytics. Ask your databases questions in natural language - get schema exploration, profiling, trends, anomaly detection, and cross-database comparisons. Read-only, safe, local.

#postgresql #database #analytics #mcp #python #sql #data-analysis

Dbecho MCP Server の設定

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": {
    "dbecho": {
      "command": "dbecho",
      "args": [
        "--config",
        "/path/to/dbecho.toml"
      ]
    }
  }
}

Dbecho MCP Server のツール

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。

概要

What is Dbecho?

Dbecho gives AI agents (Claude Code, Cursor, Windsurf) direct read-only access to your PostgreSQL databases. It is a pure Python package using stdio transport — no containers or web UI needed.

How to use Dbecho?

Install with pip install, configure your PostgreSQL connection(s) in a TOML file, and Dbecho exposes 11 tools, 3 MCP resources, and 3 MCP prompts to your MCP-compatible AI agent.

Key features of Dbecho

11 tools: schema, query, analyze, compare, trend, anomalies, sample, erd, health, summary, list_databases
Read-only safety enforced at the database level
Supports multiple PostgreSQL databases in one config
Compare databases with a single tool call
Pure Python, zero infrastructure required
Requires Python 3.10+

Use cases of Dbecho

Allow AI coding assistants to explore your database schema and data
Query PostgreSQL without granting write or destructive permissions
Compare schemas or data patterns across multiple databases
Automate database health checks and trend analysis with AI agents
Sample and analyze production tables without risk of data modification

よくある質問

What safety guarantees does Dbecho provide?

Connections enforce `default_transaction_read_only=on`, only allow SELECT/WITH/EXPLAIN/SHOW queries, prevent SQL injection with `psycopg.sql.Identifier`, and include query timeouts and row limits. It is safe to point at production databases.

Do I need to run containers or a web server?

No. Dbecho is a pure Python package that communicates via stdio transport — no containers, web UI, or additional infrastructure required.

How do I connect to multiple databases?

Place multiple PostgreSQL connection definitions in a single TOML configuration file. You can compare across them with one tool call.

What are the runtime requirements?

Python 3.10 or later is required. There are no other external runtime dependencies.

How is Dbecho accessed?

Dbecho uses the standard MCP protocol over stdio transport. It integrates directly with MCP-compatible AI tools such as Claude Code, Cursor, and Windsurf.

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