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MCP SQLAlchemy
- python
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python
Language
6 months ago
First Indexed
2 months ago
Catalog Refreshed
Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
Installation
Add the following to your MCP client configuration file.
Configuration
View docs{
"mcpServers": {
"openlinksoftware-mcp-sqlalchemy-server": {
"command": "uv",
"args": [
"--directory",
"/path/to/mcp-sqlalchemy-server",
"run",
"mcp-sqlalchemy-server"
],
"env": {
"API_KEY": "xxx",
"ODBC_DSN": "VOS",
"ODBC_USER": "dba",
"ODBC_PASSWORD": "dba"
}
}
}
}You run an MCP server that exposes ODBC access via SQLAlchemy, enabling you to query Virtuoso and other SQLAlchemy-backed DBMS through a lightweight FastAPI-based service. This guide walks you through using the server with an MCP client, installing it locally, configuring connections, and leveraging the provided data access tools.
How to use
Connect to the MCP server from an MCP client using the server’s stdio command configuration or a configured HTTP endpoint if available. You can list schemas, inspect tables, describe table structures, filter table names, and execute queries or stored procedures against the connected database. The available tools return results in JSON, Markdown, or JSONL formats as appropriate.
How to install
# Prerequisites
python3 --version
python3 -m ensurepip --upgrade
pip3 --version
# Install the runtime/adapter utilities
pip3 install uv
# Ensure ODBC runtime is available and configured on your system
# Check ODBC installation configuration and available DSNs as part of setup in practice
```,
# Optional: verify environment variables for the MCP server (adjust values to your environment)
# ODBC_DSN is the DSN name configured for Virtuoso or target DB
# ODBC_USER and ODBC_PASSWORD are credentials for the DSN
# API_KEY is used for client authentication with the MCP server
export ODBC_DSN=VOS
export ODBC_USER=dba
export ODBC_PASSWORD=dba
export API_KEY=your_api_key_here
```,
Additional sections
The MCP server supports a suite of actions that you can invoke from your MCP client. Its toolset includes schema and table discovery, detailed table description, name-based table filtering, and multiple query result formats to suit reporting and integration needs.
Configuration
Configure your Claude Desktop or MCP client to run the server using the provided runtime command and environment variables. The example below shows how to start the MCP server using the runtime runner with the appropriate environment bindings.
Troubleshooting
If you encounter issues, verify that the ODBC DSN is reachable, the credentials are correct, and the server process has the required permissions to access the database. Check the MCP client logs for errors related to authentication, DSN resolution, or query execution.
Notes
Keep your API key secure and rotate credentials regularly. When running in production, consider restricting access to the MCP server endpoints and implementing proper network controls to prevent unauthorized usage.
Available tools
podbc_get_schemas
List database schemas accessible to the connected DBMS
podbc_get_tables
List tables within a selected schema or all schemas
podbc_describe_table
Describe a table's columns, data types, nullability, and keys
podbc_filter_table_names
Filter tables by a substring within their names
podbc_query_database
Execute a SQL query and return results as JSON
podbc_query_database_md
Execute a SQL query and return results as Markdown
podbc_query_database_jsonl
Execute a SQL query and return results as JSONL
podbc_spasql_query
Execute a SPASQL query (Virtuoso-specific)
podbc_sparql_query
Execute a SPARQL query (Virtuoso-specific)
podbc_virtuoso_support_ai
Virtuoso AI assistant interaction for support prompts