benedya/octoquery

Let AI agents query your databases safely: each DB becomes an MCP tool, each schema a skill.

3Stars on the repository
5Mods indexed here, across every type
1mo agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

blog-demo-db

01

benedya/octoquery

Skill Claude CodeCodex

Query the blog database (authors, posts, comments) through the MCP SQL tool. Use whenever the user asks questions about authors, posts, comments, views, or blog activity — e.g. "how many posts are published?", "most viewed posts", "most commented post", "top authors by views".

not rated 3 1mo ago A 66 tokens original MIT

ecommerce-demo-db

02

benedya/octoquery

Skill Claude CodeCodex

Query the e-commerce database (users, products, orders, orderitems) through the MCP SQL tool. Use whenever the user asks questions about users, products, orders, revenue, or sales — e.g. "how many orders do we have?", "top customers by spend", "revenue by category".

not rated 3 1mo ago A 67 tokens original MIT

helpdesk-demo-db

03

benedya/octoquery

Skill Claude CodeCodex

Query the helpdesk database (customers, agents, tickets) through the MCP SQL tool. Use whenever the user asks questions about support tickets, customers, agents, priorities, or resolution times — e.g. "how many open tickets do we have?", "which urgent tickets are unassigned?", "average resolution time by priority".

not rated 3 1mo ago A 70 tokens original MIT

library-demo-db

04

benedya/octoquery

Skill Claude CodeCodex

Query the library database (books, members, loans) through the MCP SQL tool. Use whenever the user asks questions about books, authors, members, loans, or overdue returns — e.g. "which books are currently borrowed?", "most popular book", "who has overdue loans?".

not rated 3 1mo ago A 61 tokens original MIT

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