MCP Connector

Connect to Databases via SQLAlchemy and PyODBC

An MCP server for ODBC databases via SQLAlchemy/pyodbc - schema/table introspection and SQL, SPASQL, or SPARQL queries, Virtuoso-optimized.

Works with virtuosopostgresqlmysqlsqlitepyodbc

91
Spark score
out of 100
Updated May 2025
Version 1.0.0
Models
universal

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Why it matters

Enable seamless access to various ODBC-compliant databases, including Virtuoso, PostgreSQL, MySQL, and SQLite, by leveraging SQLAlchemy and PyODBC. This asset allows for structured data retrieval and execution of SQL queries.

Outcomes

What it gets done

01

Retrieve database schemas and table structures.

02

Execute SQL, SPASQL, and SPARQL queries against connected databases.

03

Fetch query results in JSONL or Markdown table formats.

04

Manage database credentials securely through environment variables.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-openlink-generic-sqlalchemy-object-relational-database-connectivity-for-pyodbc | bash

Capabilities

Tools your agent gets

podbc_get_schemas

Get a list of database schemas available for the connected DBMS

podbc_get_tables

Get a list of tables associated with the selected database schema

podbc_describe_table

Provide table description including column names, data types, and constraints

podbc_filter_table_names

Get a list of tables matching a substring pattern in the selected schema

podbc_query_database

Execute a SQL query and return results in JSONL format

podbc_execute_query

Execute a SQL query and return results in JSONL format

podbc_execute_query_md

Execute a SQL query and return results in Markdown table format

podbc_spasql_query

Execute a SPASQL query and return results

+2 tools

Overview

OpenLink Generic SQLAlchemy Object-Relational Database Connectivity for PyODBC MCP Server

An MCP server exposing ODBC schema and table introspection plus SQL, SPASQL, and SPARQL query execution via pyodbc and SQLAlchemy, optimized for Virtuoso DBMS. Use when an AI assistant needs to introspect schemas and tables or run SQL, SPASQL, or SPARQL queries against an ODBC-connected database.

What it does

A lightweight MCP server, built with FastAPI, pyodbc, and SQLAlchemy, that connects an AI assistant to any ODBC-reachable database - Virtuoso, PostgreSQL, MySQL, SQLite, or another backend with a SQLAlchemy provider - over a single configured ODBC DSN. It exposes schema and table introspection (list schemas, list tables, describe a table's columns, data types, nullability, and primary/foreign keys), substring-based table search, general SQL query execution with a choice of JSON, Markdown-table, or JSON Lines output, and, for Virtuoso specifically, stored-procedure execution plus its SPASQL/SPARQL hybrid query support and a database-side AI assistant function callable from inside the same connection.

When to use - and when NOT to

Use it when an AI assistant needs to introspect schemas and tables, or run SQL, SPASQL, or SPARQL queries against an ODBC-connected database. Setup requires the uv package manager, a working unixODBC runtime, checked via odbcinst -j for config locations and odbcinst -q -s for available DSNs, and an ODBC DSN configured in ~/.odbc.ini pointing at the target database - a Virtuoso example:

[VOS]
Description = OpenLink Virtuoso
Driver = /path/to/virtodbcu_r.so
Database = Demo
Address = localhost:1111
WideAsUTF16 = Yes

The SQLAlchemy connection URL format varies by backend: virtuoso+pyodbc://user:password@VOS for Virtuoso, standard postgresql://, mysql+pymysql://, and sqlite:/// URLs for PostgreSQL, MySQL, and SQLite respectively, all tested against this server. For troubleshooting, the MCP Inspector can be installed and pointed at the server's own uv run invocation to interactively debug tool calls and see exactly what each one returns before wiring it into a real conversation.

Capabilities

Schema and table introspection covers listing, substring filtering, and detailed description, giving an agent enough structural context about an unfamiliar database to write correct queries without guessing at column names or foreign key relationships first. Standard SQL queries come back in three interchangeable output formats depending on what the caller actually needs next: plain JSON for programmatic consumption, a Markdown table for direct display to a person, or JSON Lines for streaming or line-oriented processing of larger result sets. The three Virtuoso-specific query tools extend past ordinary SQL entirely - a hybrid SQL-and-SPARQL query language for combining relational and graph-style querying in one statement, a pure graph-query language for triple-store style data, and a database-side AI assistant function that can be invoked with a natural-language prompt from inside the same connection, rather than requiring a completely separate AI integration layer bolted on top of the database.

How to install

Clone the repository, set ODBC_DSN, ODBC_USER, ODBC_PASSWORD, and API_KEY in .env, then add the server to Claude Desktop's config pointing uv run mcp-sqlalchemy-server at the cloned directory with the same environment variables.

Who it's for

Developers connecting an AI assistant to a Virtuoso, PostgreSQL, MySQL, SQLite, or other ODBC-reachable database who need schema introspection and flexible query execution, including Virtuoso's own SPASQL/SPARQL hybrid and AI features where applicable, and who would rather have three interchangeable output formats for a query result than a single fixed shape their downstream tooling has to adapt to every time.

Source README

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.

Database URL Format
Virtuoso DBMS virtuoso+pyodbc://user:password@ODBC_DSN
PostgreSQL postgresql://user:password@localhost/dbname
MySQL mysql+pymysql://user:password@localhost/dbname
SQLite sqlite:///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

name description
podbc_get_schemas List database schemas accessible to connected database management system (DBMS).
podbc_get_tables List tables associated with a selected database schema.
podbc_describe_table Provide 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_names List tables, based on a substring pattern from the q input field, associated with a selected database schema.
podbc_query_database Execute a SQL query and return results in JSONL format.
podbc_execute_query Execute a SQL query and return results in JSONL format.
podbc_execute_query_md Execute a SQL query and return results in Markdown table format.
podbc_spasql_query Execute a SPASQL query and return results.
podbc_sparql_query Execute a SPARQL query and return results.
podbc_virtuoso_support_ai Interact 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.

FAQ

Common questions

Discussion

Questions & comments · 0

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