mcp-sqlalchemy

Official
Apache 2.0
7
  • Apple
  • Linux

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Integrations

  • Built with FastAPI to provide a lightweight MCP server for ODBC database connections.

  • Provides capability to format query results as Markdown tables for better readability and visualization.

  • Connects to MySQL databases through PyMySQL, supporting schema exploration, table information retrieval, and query execution.


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.


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

Overview

namedescription
podbc_get_schemasList database schemas accessible to connected database management system (DBMS).
podbc_get_tablesList tables associated with a selected database schema.
podbc_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
podbc_filter_table_namesList tables, based on a substring pattern from the q input field, associated with a selected database schema.
podbc_query_databaseExecute a SQL query and return results in JSONL format.
podbc_execute_queryExecute a SQL query and return results in JSONL format.
podbc_execute_query_mdExecute a SQL query and return results in Markdown table format.
podbc_spasql_queryExecute a SPASQL query and return results.
podbc_sparql_queryExecute a SPARQL query and return results.
podbc_virtuoso_support_aiInteract with the Virtuoso Support Assistant/Agent -- a Virtuoso-specific feature for interacting with LLMs

Detailed Description

  • podbc_get_schemas
    • Retrieve and return a list of all schema names from the connected database.
    • Input parameters:
      • user (string, optional): Database username. Defaults to "demo".
      • password (string, optional): Database password. Defaults to "demo".
      • dsn (string, optional): ODBC data source name. Defaults to "Local Virtuoso".
    • Returns a JSON string array of schema names.
  • podbc_get_tables
    • Retrieve and return a list containing information about tables in a specified schema. If no schema is provided, uses the connection's default schema.
    • Input parameters:
      • schema (string, optional): Database schema to filter tables. Defaults to connection default.
      • user (string, optional): Database username. Defaults to "demo".
      • password (string, optional): Database password. Defaults to "demo".
      • dsn (string, optional): ODBC data source name. Defaults to "Local Virtuoso".
    • Returns a JSON string containing table information (e.g., TABLE_CAT, TABLE_SCHEM, TABLE_NAME, TABLE_TYPE).
  • podbc_filter_table_names
    • Filters and returns information about tables whose names contain a specific substring.
    • Input parameters:
      • q (string, required): The substring to search for within table names.
      • schema (string, optional): Database schema to filter tables. Defaults to connection default.
      • user (string, optional): Database username. Defaults to "demo".
      • password (string, optional): Database password. Defaults to "demo".
      • dsn (string, optional): ODBC data source name. Defaults to "Local Virtuoso".
    • Returns a JSON string containing information for matching tables.
  • podbc_describe_table
    • Retrieve and return detailed information about the columns of a specific table.
    • Input parameters:
      • schema (string, required): The database schema name containing the table.
      • table (string, required): The name of the table to describe.
      • user (string, optional): Database username. Defaults to "demo".
      • password (string, optional): Database password. Defaults to "demo".
      • dsn (string, optional): ODBC data source name. Defaults to "Local Virtuoso".
    • Returns a JSON string describing the table's columns (e.g., COLUMN_NAME, TYPE_NAME, COLUMN_SIZE, IS_NULLABLE).
  • podbc_query_database
    • Execute a standard SQL query and return the results in JSON format.
    • Input parameters:
      • query (string, required): The SQL query string to execute.
      • user (string, optional): Database username. Defaults to "demo".
      • password (string, optional): Database password. Defaults to "demo".
      • dsn (string, optional): ODBC data source name. Defaults to "Local Virtuoso".
    • Returns query results as a JSON string.
  • podbc_query_database_md
    • Execute a standard SQL query and return the results formatted as a Markdown table.
    • Input parameters:
      • query (string, required): The SQL query string to execute.
      • user (string, optional): Database username. Defaults to "demo".
      • password (string, optional): Database password. Defaults to "demo".
      • dsn (string, optional): ODBC data source name. Defaults to "Local Virtuoso".
    • Returns query results as a Markdown table string.
  • podbc_query_database_jsonl
    • Execute a standard SQL query and return the results in JSON Lines (JSONL) format (one JSON object per line).
    • Input parameters:
      • query (string, required): The SQL query string to execute.
      • user (string, optional): Database username. Defaults to "demo".
      • password (string, optional): Database password. Defaults to "demo".
      • dsn (string, optional): ODBC data source name. Defaults to "Local Virtuoso".
    • Returns query results as a JSONL string.
  • podbc_spasql_query
    • Execute a SPASQL (SQL/SPARQL hybrid) query return results. This is a Virtuoso-specific feature.
    • Input parameters:
      • query (string, required): The SPASQL query string.
      • max_rows (number, optional): Maximum number of rows to return. Defaults to 20.
      • timeout (number, optional): Query timeout in milliseconds. Defaults to 30000.
      • user (string, optional): Database username. Defaults to "demo".
      • password (string, optional): Database password. Defaults to "demo".
      • dsn (string, optional): ODBC data source name. Defaults to "Local Virtuoso".
    • Returns the result from the underlying stored procedure call (e.g., Demo.demo.execute_spasql_query).
  • podbc_sparql_query
    • Execute a SPARQL query and return results. This is a Virtuoso-specific feature.
    • Input parameters:
      • query (string, required): The SPARQL query string.
      • format (string, optional): Desired result format. Defaults to 'json'.
      • timeout (number, optional): Query timeout in milliseconds. Defaults to 30000.
      • user (string, optional): Database username. Defaults to "demo".
      • password (string, optional): Database password. Defaults to "demo".
      • dsn (string, optional): ODBC data source name. Defaults to "Local Virtuoso".
    • Returns the result from the underlying function call (e.g., "UB".dba."sparqlQuery").
  • podbc_virtuoso_support_ai
    • Utilizes a Virtuoso-specific AI Assistant function, passing a prompt and optional API key. This is a Virtuoso-specific feature.
    • Input parameters:
      • prompt (string, required): The prompt text for the AI function.
      • api_key (string, optional): API key for the AI service. Defaults to "none".
      • user (string, optional): Database username. Defaults to "demo".
      • password (string, optional): Database password. Defaults to "demo".
      • dsn (string, optional): ODBC data source name. Defaults to "Local Virtuoso".
    • Returns the result from the AI Support Assistant function call (e.g., DEMO.DBA.OAI_VIRTUOSO_SUPPORT_AI).

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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A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

Provides SQLAlchemy (via pyodbc) connectivity to any Database Management System (DBMS) that's accessible via SQLAlchemy.

  1. Features
    1. Prerequisites
      1. Installation
        1. Environment Variables
          1. Configuration
            1. Usage
              1. Database Management System (DBMS) Connection URLs
              2. Tools Provided
              3. Troubleshooting
            ID: d29eq2qygt