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SQLAlchemy ODBC Bridge

MCP SQLAlchemy Server provides a bridge between AI assistants and databases through ODBC connections, enabling direct SQL and SPARQL query execution, schema exploration, and table management. Developed by Sergey Malinin, this implementation leverages SQLAlchemy and pyodbc to offer specialized tools for retrieving database schemas, describing tables, filtering table names, and executing queries with results in both JSONL and Markdown formats. The server has built-in support for Virtuoso DBMS with additional compatibility for PostgreSQL, MySQL, and SQLite, making it ideal for data analysis, database exploration, and knowledge graph querying applications where AI assistants need structured access to database systems.

Cognium trust score

80%

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 2026-09-19.

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-sqlalchemy-server
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve SQLAlchemy ODBC Bridge 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"