mcp-schema-fetch 0.1.0

MCP server for database schema discovery across PostgreSQL, MySQL, SQL Server, and Salesforce

mcp-schema-fetch

MCP server for database schema discovery across PostgreSQL, MySQL, SQL Server, and Salesforce.

Installation

pip install mcp-schema-fetch

All database drivers (PostgreSQL, MySQL, SQL Server, Salesforce) are included.

Usage with Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "schema-fetch": {
      "command": "mcp-schema-fetch",
      "args": ["--config", "/path/to/db_registry.yaml"]
    }
  }
}

Or use uvx to run without installing:

{
  "mcpServers": {
    "schema-fetch": {
      "command": "uvx",
      "args": ["mcp-schema-fetch", "--config", "/path/to/db_registry.yaml"]
    }
  }
}

Configuration

Create a db_registry.yaml file:

databases:
  my_postgres:
    type: postgresql
    host: ${PG_HOST:-localhost}
    port: 5432
    database: mydb
    username: ${PG_USER}
    password: ${PG_PASSWORD}
    schema: public

  salesforce:
    type: salesforce
    host: "login.salesforce.com"
    port: 443
    database: "production"
    username: ${SF_USER}
    password: ${SF_PASSWORD}
    security_token: ${SF_TOKEN}

Environment variables in ${VAR} or ${VAR:-default} format are automatically resolved.

Setup

Config File Discovery

The server looks for db_registry.yaml in this order:

1. --config / -c CLI argument
2. MCP_SCHEMA_FETCH_CONFIG environment variable
3. ./config/db_registry.yaml (current directory)
4. ~/.config/mcp-schema-fetch/db_registry.yaml (user config)

Tools

The recommended workflow is: list_databases -> list_tables -> get_table_schema.

list_databases

List all configured database connections.

Returns: { databases: [{ name, type }], count }

list_tables

List all tables in a database. For Salesforce, returns queryable SObjects.

Args: db_name
Returns: { database, tables: [string], count }

get_table_schema

Fetch column schema for a database table. Column types are normalized across vendors (e.g., VARCHAR, NVARCHAR, TEXT all become varchar).

Args: db_name, table_name
Returns: { database, table, schema, columns: [{ name, type, nullable }], column_count }

Development

git clone https://github.com/nickpeterson92/mcp-schema-fetch
cd mcp-schema-fetch
pip install -e ".[all,dev]"
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