Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@SchemaCrawler AI MCP Server list all tables in the database"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
:star: Star it :arrow_heading_up: if you love it!
Please see the SchemaCrawler website for more details.
See SchemaCrawler AI MCP Server Usage for information on how to use the MCP Server
SchemaCrawler AI provides an MCP Server to allow AI agents to have an interactive way to interrogate your database schema metadata. It is based on SchemaCrawler, which is a free database schema discovery and comprehension tool.
Related MCP server: snowflake-mcp
SchemaCrawler AI is licensed under the Business Source License 1.1 (BUSL-1.1) license.
This project may be distributed together with third-party components such as JDBC drivers and other libraries. Unless explicitly stated otherwise, the Business Source License 1.1 applies only to the SchemaCrawler AI MCP Server source code authored for this repository. All third-party components included in source or binary distributions are licensed separately by their respective copyright holders. See the documentation or the distribution package for third-party license information.
Under the Business Source License 1.1, you are free to read, modify, and redistribute the source code, subject to the license terms. However, production or commercial use of SchemaCrawler AI MCP Server is restricted except as permitted by a separate commercial agreement. If you are interested in production or commercial use please see the SchemaCrawler website.
SchemaCrawler AI is not supported, unless you purchase a support incident. Please see Guidelines for Support for details.
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If you are the server author, to access and configure the admin panel.
Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.
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Query PostgreSQL databases in plain English — LLM-generated, safety-validated SQL.
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