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MCP Server ODBC via SQLAlchemy

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MCP-Mirror8 months ago
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MCP Server ODBC via SQLAlchemy

A lightweight MCP (Model Context Protocol) server for ODBC built with FastAPI, pyodbc, and SQLAlchemy. This server is compatible with Virtuoso DBMS and other DBMS backends that implement a SQLAlchemy provider.

mcp-client-and-servers|648x499


Features

  • Get Schemas: Fetch and list all schema names from the connected database.
  • Get Tables: Retrieve table information for specific schemas or all schemas.
  • Describe Table: Generate a detailed description of table structures, including:
    • Column names and data types
    • Nullable attributes
    • Primary and foreign keys
  • Search Tables: Filter and retrieve tables based on name substrings.
  • Execute Stored Procedures: In the case of Virtuoso, execute stored procedures and retrieve results.
  • Execute Queries:
    • JSONL result format: Optimized for structured responses.
    • Markdown table format: Ideal for reporting and visualization.

Prerequisites

  1. Install uv:

    pip install uv
    

    Or use Homebrew:

    brew install uv
    
  2. unixODBC Runtime Environment Checks:

  3. Check installation configuration (i.e., location of key INI files) by running: odbcinst -j

  4. List available data source names by running: odbcinst -q -s

  5. ODBC DSN Setup: Configure your ODBC Data Source Name (~/.odbc.ini) for the target database. Example for Virtuoso DBMS:

    [VOS]
    Description = OpenLink Virtuoso
    Driver = /path/to/virtodbcu_r.so
    Database = Demo
    Address = localhost:1111
    WideAsUTF16 = Yes
    
  6. SQLAlchemy URL Binding: Use the format:

    virtuoso+pyodbc://user:password@VOS
    

Installation

Clone this repository:

git clone https://github.com/OpenLinkSoftware/mcp-sqlalchemy-server.git
cd mcp-sqlalchemy-server

Environment Variables

Update your .envby overriding the defaults to match your preferences

ODBC_DSN=VOS
ODBC_USER=dba
ODBC_PASSWORD=dba
API_KEY=xxx

Configuration

For Claude Desktop users: Add the following to claude_desktop_config.json:

{
  "mcpServers": {
    "my_database": {
      "command": "uv",
      "args": ["--directory", "/path/to/mcp-sqlalchemy-server", "run", "mcp-sqlalchemy-server"],
      "env": {
        "ODBC_DSN": "dsn_name",
        "ODBC_USER": "username",
        "ODBC_PASSWORD": "password",
        "API_KEY": "sk-xxx"
      }
    }
  }
}

Usage

Database Management System (DBMS) Connection URLs

Here are the pyodbc URL examples for connecting to DBMS systems that have been tested using this mcp-server.

DatabaseURL Format
Virtuoso DBMSvirtuoso+pyodbc://user:password@ODBC_DSN
PostgreSQLpostgresql://user:password@localhost/dbname
MySQLmysql+pymysql://user:password@localhost/dbname
SQLitesqlite:///path/to/database.db
Once connected, you can interact with your WhatsApp contacts through Claude, leveraging Claude's AI capabilities in your WhatsApp conversations.

Tools Provided

namedescription
get_schemasList database schemas accessible to connected database management system (DBMS).
get_tablesList tables associated with a selected database schema.
describe_tableProvide the description of a table associated with a designated database schema. This includes information about column names, data types, nulls handling, autoincrement, primary key, and foreign keys
filter_table_namesList tables, based on a substring pattern from the q input field, associated with a selected database schema.
query_databaseExecute a SQL query and return results in JSONL format.
execute_queryExecute a SQL query and return results in JSONL format.
execute_query_mdExecute a SQL query and return results in Markdown table format.
spasql_queryExecute a SPASQL query and return results.
sparql_queryExecute a SPARQL query and return results.
virtuoso_support_aiInteract with the Virtuoso Support Assistant/Agent -- a Virtuoso-specific feature for interacting with LLMs

Troubleshooting

For easier troubleshooting:

  1. Install the MCP Inspector:

    npm install -g @modelcontextprotocol/inspector
    
  2. Start the inspector:

    npx @modelcontextprotocol/inspector uv --directory /path/to/mcp-sqlalchemy-server run mcp-sqlalchemy-server
    

Access the provided URL to troubleshoot server interactions.

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