The mcp-odbc-server provides a streamlined way for Large Language Models to connect, access, and query data from various ODBC-supported databases via a custom MCP protocol.
Added on:
Created by:
Apr 03 2025
The mcp-odbc-server provides a streamlined way for Large Language Models to connect, access, and query data from various ODBC-supported databases via a custom MCP protocol.
Added on:
Created by:
Apr 03 2025
MCP Mirror
Featured
What is OpenLinkSoftware mcp-odbc-server?
This MCP server acts as a TypeScript-based layer on top of 'node-odbc', routing SQL and SPARQL queries to local or remote ODBC drivers. It allows LLM applications to interact with different database systems, executing queries and retrieving results in JSON, Markdown, or other formats. The server supports environment setup, including configuration of data sources, security practices, and tools for schema, table, and data querying. It is designed for integration with applications like Claude Desktop or Visual Studio extensions, providing a secure and efficient bridge between AI models and data sources for seamless data access and analysis.
Who will use OpenLinkSoftware mcp-odbc-server?
- Data analysts
- Database administrators
- AI developers integrating data access in LLM applications
- Data scientists
- Software engineers working with database connectivity
How to use the OpenLinkSoftware mcp-odbc-server?
- Step 1: Clone the repository from GitHub.
- Step 2: Install Node.js v21.1.0 and the required dependencies using npm.
- Step 3: Configure environment variables in the .env file, including ODBC Data Source Name and credentials.
- Step 4: Start the server using the command specified in the documentation.
- Step 5: Use MCP client applications or tools like Claude Desktop or VSCode extensions, sending queries with specific patterns (e.g., '@odbc') to access data sources.
OpenLinkSoftware mcp-odbc-server's Core Features & Benefits
The Core Features
- get_schemas
- get_tables
- describe_table
- filter_table_names
- query_database
- execute_query
- execute_query_md
- spasql_query
- sparql_query
- virtuoso_support_ai
The Benefits
- Enables seamless SQL and SPARQL query execution for LLM applications
- Supports multiple database systems through ODBC drivers
- Provides flexible query result formats such as JSON and Markdown
- Facilitates data source management and schema discovery
- Integrates with popular AI tools and IDEs for improved workflow
OpenLinkSoftware mcp-odbc-server's Main Use Cases & Applications
- Integrating GPT-based chatbots with enterprise databases for real-time data retrieval
- Enabling AI-driven data analysis and visualization in data science projects
- Automating data management tasks through natural language commands
- Building intelligent assistants that can query multiple data sources on demand
FAQs of OpenLinkSoftware mcp-odbc-server
Developer
- MCP-Mirror
You may also like:
Developer Tools
A desktop application for managing server and client interactions with comprehensive functionalities.
A Model Context Protocol server for Eagle that manages data exchange between Eagle app and data sources.
A chat-based client that integrates and uses various MCP tools directly within a chat environment for enhanced productivity.
A Docker image hosting multiple MCP servers accessible through a unified entry point with supergateway integration.
Provides access to YNAB account balances, transactions, and transaction creation through MCP protocol.
A fast, scalable MCP server for managing real-time multi-client Zerodha trading operations.
A remote SSH client facilitating secure, proxy-based access to MCP servers for remote tool utilization.
A Spring-based MCP server integrating AI capabilities for managing and processing Minecraft mod communication protocols.
A minimalistic MCP client with essential chat features, supporting multiple models and contextual interactions.
A secure MCP server enabling AI agents to interact with Authenticator App for 2FA codes and passwords.
Research And Data
A server implementation supporting Model Context Protocol, integrating CRIC's industrial AI capabilities.
Provides real-time traffic, air quality, weather, and bike-sharing data for Valencia city in a unified platform.
A React application demonstrating integration with Supabase via MCP tools and Tambo for UI component registration.
A MCP client integrating Brave Search API for web searches, utilizing MCP protocol for efficient communication.
A protocol server enabling seamless communication between Umbraco CMS and external applications.
NOL integrates LangChain and Open Router to create a multi-client MCP server using Next.js
Connects LLMs to Firebolt Data Warehouse for autonomous querying, data access, and insight generation.
A client framework for connecting AI agents to MCP servers, enabling tool discovery and integration.
Spring Link facilitates linking and managing multiple Spring Boot applications efficiently within a unified environment.
An open-source client to interact with multiple MCP servers, enabling seamless tool access for Claude.
Databases
A client for managing and interacting with MCPs in Chainlit, enabling database queries, view management, and database setup.
A tool that detects, records, and documents schema changes in Supabase PostgreSQL databases automatically.
A client tool designed to facilitate SQL query management and database interactions for enterprise users.
A MCP to enable natural language expense analysis and querying on SQLite databases for expense records.
A Python-based MCP client for PostgreSQL, enabling seamless integration of PostgreSQL databases into MCP workflows.
A server to enable secure and high-performance access to Alibaba Cloud PolarDB clusters using MCP protocol.
A command-line MCP client enabling natural language interactions with SQLite databases through LLM API.
A server that enables direct SQL query execution on PostgreSQL databases, supporting parameterized queries and timeouts.
A Go-based MCP server enabling AI models to interact with MySQL databases for querying and management.
A server enabling natural language interaction with OpenSearch clusters for health, indexing, and search management.