# ODBC Database Connector

> Use this tool when you need to connect AI systems to relational databases, enabling interaction with structured data sources through ODBC connections. It solves problems in knowledge graph exploration, data analysis workflows, and enterprise database integration, accepting SQL, SPARQL, and SpaSQL queries as input and producing outputs in JSON, JSONL, or Markdown formats. Ideal for use cases requiring database schema exploration, table inspection, and custom query execution, this tool bridges the gap between AI assistants and relational databases.

Canonical page: https://skillsregistry.net/skills/openlink-odbc-database-connector  
JSON: https://api.skillsregistry.net/v1/skills/openlink-odbc-database-connector

## Description

The MCP ODBC Server provides a bridge between AI assistants and relational databases through ODBC connections, with specialized support for Virtuoso database systems. It offers tools for database schema exploration, table inspection, and executing SQL, SPARQL, and hybrid SpaSQLqueries, allowing AI systems to interact with structured data sources. Built with TypeScript and Node.js, it implements a comprehensive set of database operations including retrieving schema information, describing table structures, and running custom queries with results formatted as JSON, JSONL, or Markdown tables. The server is particularly useful for knowledge graph exploration, data analysis workflows, and integrating AI capabilities with enterprise database systems.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/openlink-odbc-database-connector)
- **Repository:** <https://github.com/openlinksoftware/mcp-odbc-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "openlink-odbc-database-connector"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/openlink-odbc-database-connector` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/openlink-odbc-database-connector/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt