ODBC Database Connector
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.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/openlinksoftware/mcp-odbc-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve ODBC Database Connector from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.