MCP Firebird
by PuroDelphi
MCP Firebird is a server that implements Anthropic's Model Context Protocol (MCP) for Firebird SQL databases. It allows Large Language Models (LLMs) like Claude to access, analyze, and manipulate data in Firebird databases securely and in a controlled manner.
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What is MCP Firebird?
MCP Firebird is a server that implements Anthropic's Model Context Protocol (MCP) for Firebird SQL databases, enabling LLMs like Claude to interact with Firebird databases.
How to use MCP Firebird?
MCP Firebird can be used with Claude Desktop by configuring the server in the Claude Desktop configuration file. It also supports SSE transport and can be installed via Smithery. Detailed installation and configuration instructions are available in the documentation.
Key features of MCP Firebird
SQL Queries
Schema Analysis
Database Management
Performance Analysis
Multiple Transports (STDIO, SSE)
Claude Integration
VSCode Integration
Security (SQL query validation)
Use cases of MCP Firebird
Analyzing data in Firebird databases using LLMs
Manipulating data in Firebird databases using LLMs
Integrating Firebird databases with Claude Desktop
Automating database tasks with AI
FAQ from MCP Firebird
What is MCP?
What is MCP?
MCP stands for Model Context Protocol. It's a protocol developed by Anthropic that allows LLMs to interact with external data sources.
What databases are supported?
What databases are supported?
This implementation is specifically for Firebird SQL databases.
How do I install MCP Firebird?
How do I install MCP Firebird?
You can install it globally using npm (npm install -g mcp-firebird
) or via Smithery (npx -y @smithery/cli install @PuroDelphi/mcpFirebird --client claude
).
How do I configure MCP Firebird for Claude Desktop?
How do I configure MCP Firebird for Claude Desktop?
You need to edit the Claude Desktop configuration file and add the MCP Firebird configuration, specifying the command, arguments, and type.
Where can I find more detailed documentation?
Where can I find more detailed documentation?
Detailed documentation is available in the docs
directory of the repository, covering installation, configuration, tools, Docker, clients, security, troubleshooting, and use cases.