Dbecho

by ginkida

306 downloads

Not rated

GitHub

Database

About

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.

Details

Author: ginkida
Downloads: 306
Categories: Database

- 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+

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Dbecho

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

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

JSON

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

JSON

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

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

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

JSON

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

JSON

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

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

From the repository

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.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

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

McpServers

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

dbecho gives AI agents (Claude Code, Cursor, Windsurf) direct read-only access to your PostgreSQL databases.

11 tools: schema, query, analyze, compare, trend, anomalies, sample, erd, health, summary, list_databases. Plus 3 MCP resources and 3 MCP prompts.

Safety: read-only connections (default_transaction_read_only=on), query whitelist (SELECT/WITH/EXPLAIN/SHOW only), SQL injection prevention via
psycopg.sql.Identifier, query timeouts, row limits. Safe to point at production.

Multi-database: connect multiple PostgreSQL databases in one TOML config, compare across them with a single tool call.

Zero infrastructure: pure Python package, stdio transport, no containers or web UI needed.

Requires Python 3.10+. Install: pip install dbecho

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

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