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PyODBC

The MCP PyODBC Server provides a lightweight bridge between AI assistants and ODBC-compatible databases, with special optimizations for Virtuoso DBMS. Developed by OpenLink Software, it enables structured data access through SQL queries, table exploration, and schema discovery while also supporting specialized Virtuoso features like SPARQL and SPASQL queries. The server handles connection management, query execution, and result formatting in both JSONL and Markdown table formats, making it ideal for data analysis, reporting, and knowledge graph exploration directly within AI assistant workflows.

Cognium trust score

79%

Tier

Verified

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 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: database
Source: PulseMCP
Repository: github.com/openlinksoftware/mcp-pyodbc-server
Author type: human
Last scanned: 2026-09-28
Updated: 2026-09-28

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MCP

Resolve PyODBC 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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"