How do I install Age?

Age can be installed using brew, uv, or python venv. Refer to the README for detailed installation instructions based on your operating system and preferred package manager.

Age connects Apache AGE graph database to Claude, allowing users to interact with graph data using natural language queries. It's like having a conversation with your database!

How do I enable write operations?

By default, write operations are disabled for safety. You can enable them by using the `--allow-write` flag in the `age-mcp-server` configuration.

What features does Age offer?

Age enables natural language querying, supports graph creation/deletion/modification (using the `--allow-write` flag), integrates with Azure Database for PostgreSQL with the Apache AGE extension, and is compatible with macOS and Windows.

What databases can Age connect to?

Age primarily connects to Apache AGE graph databases, especially when integrated with Azure Database for PostgreSQL with the Apache AGE extension.

Age

Name: Age
Author: rioriost

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Connects Apache AGE graph database to Claude, enabling graph data interaction via natural language.

Age bridges the gap between Apache AGE, a PostgreSQL graph database, and the Claude AI assistant. It acts as an MCP (Model Context Protocol) server, allowing Claude to query and manipulate graph data stored in AGE through natural language commands. This integration empowers users to explore graph relationships, analyze patterns, and manage graph structures within their PostgreSQL database directly through Claude's conversational interface, enhancing data accessibility and insights.

主な機能

01Enables natural language querying of Apache AGE graph databases via Claude.

02Integrates with Azure Database for PostgreSQL with Apache AGE extension enabled.

03Supports graph creation, deletion, and modification (with `--allow-write` flag).

04Supports multiple graph management within the database.

05Compatible with macOS and Windows operating systems.

060 GitHub stars

ユースケース

01Analyzing relationships and patterns within graph data using natural language queries.

02Integrating graph database functionalities into AI-powered workflows.

03Creating and managing graph structures through a conversational interface.