pulsemcp verified Safe content atomic mcp-remote

Trino (SQL Query Engine)

MCP Trino Server provides seamless integration between AI assistants and Trino/Iceberg databases through a standardized interface. Developed by alaturqua, this Python implementation exposes Trino's querying capabilities and Iceberg's table maintenance operations as MCP resources and tools, enabling data exploration, SQL execution, and table optimization. The server handles connection management, query formatting, and catalog navigation while supporting environment-based configuration, making it particularly valuable for interactive data analysis, automated table maintenance, and building AI-powered tools that interact with Trino databases.

Cognium trust score

99%

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

View full trust & usage report →

Metadata

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

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MCP

Resolve Trino (SQL Query Engine) 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"