Openlinksoftware MCP Odbc Server
This project is an implementation of an MCP server based on ODBC, providing large language models with the ability to transparently access ODBC data sources through TypeScript and node - odbc. It supports multiple database management systems, including Virtuoso, and provides a rich set of tools for data query and management.
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What is MCP ODBC Server?
MCP ODBC Server is a middleware based on the Model Context Protocol. It connects to various databases through the ODBC standard, enabling LLMs to directly query structured data. It acts as a translation layer, converting natural language requests into database queries and returning structured results.How to use MCP ODBC Server?
After configuring the ODBC data source, you can directly use natural language to query the database in AI applications that support the MCP protocol (such as Claude/Cursor), or send query requests through dedicated tools.Applicable scenarios
Scenarios such as data analysts querying databases through natural language, developers debugging SQL queries, business personnel obtaining real - time reports, and SPARQL queries for knowledge graphs.Main features
Multi - language query supportSupports standard SQL, SPARQL (knowledge graph query), and SPASQL (a hybrid query syntax specific to Virtuoso).
Database structure explorationAutomatically discovers database schemas, table structures, and relationships to help generate correct queries.
Native AI integrationDesigned specifically for LLM optimization, supporting AI - friendly features such as natural language to query conversion and result formatting.
Advantages and limitations
Advantages
Unified interface to access various ODBC - compatible databases
Explore data structures without writing code
Query results are automatically formatted into JSON/Markdown for easy processing by AI
Supports Virtuoso's specific AI agent function
Limitations
Requires pre - configuration of ODBC data sources
Some advanced features depend on specific database drivers
Node.js environment dependency may increase deployment complexity
How to use
Environment preparation
Install Node.js v21.1.0 and the unixODBC driver manager.
Install the service
Clone the repository and install the dependent components.
Configure the connection
Set the ODBC connection parameters in the.env file.
Start the service
Use the Inspector tool to test the connection.
Usage examples
Basic data queryDirectly query customer data in the Claude desktop version.
Knowledge graph explorationQuery RDF data in Virtuoso through SPARQL.
Data structure analysisExplore the structure of an unknown database.
Frequently Asked Questions
How to confirm that the ODBC connection configuration is correct?
Why are the query result formats sometimes different?
Does it support non - Virtuoso databases?
Related resources
MCP Inspector demonstration video
Demonstrate basic queries and the use of the Inspector tool.
GitHub repository
Project source code and the latest version.
ODBC configuration guide
Official unixODBC configuration documentation.
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