MCPSERV.CLUB
BoscoBecker

C# Firebird MCP Server

MCP Server

Dynamic Firebird query server for Model Context Protocol

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Updated 13 days ago

About

A .NET 9 MCP server that executes dynamic SQL queries against a Firebird database, supporting filtering and record limits. Ideal for integrating Firebird data into AI or tooling workflows.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

ListTable Tool in Action

The Mcpservercsharp project delivers a lightweight, yet fully‑featured MCP (Model Context Protocol) server built with .NET 9. Its primary purpose is to expose a set of custom tools that let AI assistants query and manipulate data directly in a Firebird database. By bridging the gap between an external relational store and conversational agents, this server empowers developers to create data‑centric workflows without the need for additional middleware or complex API layers.

At its core, the server implements a single powerful tool: ListTable. This function accepts a table name, an optional SQL filter, and an optional record limit. Internally it constructs a parameterized query that leverages Firebird’s clause to cap the number of rows returned, ensuring safe and efficient data retrieval. The result is a JSON‑serialisable list of dictionaries, making it trivial for an assistant to present tabular data or feed it into downstream logic. The ability to specify arbitrary filters gives users fine‑grained control over the data slice they need, while still keeping the call lightweight and secure.

Developers benefit from a clean integration path. The server is configured via a simple file, where the Firebird connection string lives. Dependency injection is handled by , allowing other components or services to consume the tool factory without tight coupling. Once running, an AI assistant can invoke the ListTable tool by sending a JSON payload that matches the MCP specification. The server responds with structured data, which can then be interpreted or transformed by the assistant’s prompt logic.

Real‑world use cases include customer support bots that need to pull live order or account information, data analytics assistants that generate quick reports from legacy Firebird tables, or internal dashboards where conversational interfaces provide ad‑hoc query capabilities. Because the server is written in C#, it integrates seamlessly into existing .NET ecosystems, enabling developers to leverage familiar patterns such as logging, configuration, and graceful shutdown.

Unique advantages of this MCP server stem from its tight coupling to Firebird—a robust, open‑source database often used in enterprise environments. By exposing native SQL capabilities through a controlled API, it eliminates the need for additional ORM layers or custom query endpoints. The server’s modular design also means new tools can be added with minimal friction, extending the assistant’s repertoire to other database engines or external services as needed.