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qualityA TypeScript-based MCP server for handling a simple notes system with NextJS that supports creating and summarizing text notes using MCP concepts.
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Why this server?
This server supports handling a simple notes system using Supabase, a database service.
Why this server?
This server integrates with Atlassian Confluence and Jira, enabling AI assistants to search, create, and update content in these platforms through natural language interactions. Both tools typically store content in a database.
Why this server?
This server enables interaction with PostgreSQL databases to list tables, retrieve schemas, and execute read-only SQL queries.
Why this server?
This server specifically targets ClickHouse, a column-oriented database management system.
Why this server?
This server enables AI assistants to interact with Metabase databases, allowing models to explore database schemas, retrieve metadata, visualize relationships, and execute actions.
Why this server?
This server enables AI assistants to perform database operations and invoke Edge Functions within Supabase.
Why this server?
This server provides programmatic access to the Materials Project database, which contains materials science data.
Why this server?
This server enables graph database interactions with Neo4j, allowing users to access and manipulate graph data through natural language commands.
Why this server?
This server allows AI assistants like Claude to directly perform database operations and invoke Edge Functions within Supabase through natural language.
Why this server?
This server enables programmatic access to the Materials Project database. It enables LLMs to search, analyze, and retrieve up to date materials science data.