This MCP facilitates ODBC connectivity for databases like Virtuoso, allowing schema management, table description, and SQL query execution via FastAPI and pyodbc.
Added on:
Created by:
Apr 21 2025
This MCP facilitates ODBC connectivity for databases like Virtuoso, allowing schema management, table description, and SQL query execution via FastAPI and pyodbc.
Added on:
Created by:
Apr 21 2025
MCP Mirror
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What is MCP Server ODBC via PyODBC?
This MCP server provides a comprehensive solution for connecting client applications to databases through ODBC. It supports schema listing, table retrieval, detailed table descriptions, and executing SQL or SPARQL queries. Additionally, it offers Virtuoso-specific features such as SPASQL execution and AI assistance. Built with FastAPI and pyodbc, it is compatible with Virtuoso DBMS and other backends with ODBC drivers, making database interactions more accessible and streamlined for various applications.
Who will use MCP Server ODBC via PyODBC?
- Database administrators
- Backend developers
- Data analysts
- Integrators working with Virtuoso
- APIs and middleware developers
How to use the MCP Server ODBC via PyODBC?
- Step 1: Install the MCP server by cloning the repository.
- Step 2: Configure environment variables and ODBC data source.
- Step 3: Run the MCP server using the provided commands.
- Step 4: Connect client applications via ODBC using the configured DSN.
- Step 5: Use provided tools to list schemas, retrieve tables, describe tables, and run queries.
MCP Server ODBC via PyODBC's Core Features & Benefits
The Core Features
- Get Schemas
- Get Tables
- Describe Table
- Search Tables
- Execute SQL Queries
- Execute SPARQL and SPASQL
- Virtuoso AI Support
The Benefits
- Easy integration with Virtuoso and other DBMS via ODBC
- Supports complex database queries and schema management
- Enables Virtuoso-specific features like SPASQL and AI interaction
- Built with modern, fast frameworks for reliable service
MCP Server ODBC via PyODBC's Main Use Cases & Applications
- Database schema management and browsing
- Automated report generation from database queries
- Integration of Virtuoso with Python-based applications
- SPARQL and SQL data retrieval for data analysis
- Virtuoso AI-powered support and assistance
FAQs of MCP Server ODBC via PyODBC
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