- MCP Server ODBC via SQLAlchemy
MCP Server ODBC via SQLAlchemy
Overview
What is MCP Server ODBC via SQLAlchemy?
MCP Server ODBC via SQLAlchemy is a lightweight server designed for ODBC connections, built using FastAPI, pyodbc, and SQLAlchemy. It is compatible with Virtuoso DBMS and other databases that support SQLAlchemy.
How to use MCP Server ODBC via SQLAlchemy?
To use the MCP server, clone the repository, set up your ODBC Data Source Name (DSN), and configure your environment variables. You can then connect to various databases using the provided connection URLs.
Key features of MCP Server ODBC via SQLAlchemy?
- Fetch and list all schema names from the connected database.
- Retrieve table information for specific schemas.
- Generate detailed descriptions of table structures.
- Execute stored procedures and SQL queries with results in JSONL or Markdown formats.
Use cases of MCP Server ODBC via SQLAlchemy?
- Managing database schemas and tables.
- Executing complex SQL queries and retrieving structured results.
- Integrating with various database management systems using a unified interface.
FAQ from MCP Server ODBC via SQLAlchemy?
- What databases are supported?
The server supports any DBMS that implements a SQLAlchemy provider, including Virtuoso, PostgreSQL, MySQL, and SQLite.
- Is there a specific installation requirement?
Yes, you need to install the
uvpackage and configure your ODBC DSN properly.
- Can I execute stored procedures?
Yes, the server allows executing stored procedures, particularly with Virtuoso.
Project Info
Created At
a year agoUpdated At
a year agoAuthor Name
MCP-MirrorStar
0Language
PythonLicense
Apache-2.0 licenseCategory
developer-tools
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