Which AI clients are supported for integration?

It is primarily designed for seamless integration with AI clients that support the Model Context Protocol, such as Claude Desktop.

Is this server limited to read-only access?

This specific project builds a read-only MCP server. For full CRUD capabilities, CData offers a separate, comprehensive MCP Server for Reckon (beta).

How does it provide access to Reckon data?

It utilizes CData JDBC Drivers to expose Reckon data as relational SQL models, making it accessible through a simple MCP interface for AI applications.

What is the CData MCP Server for Reckon?

It's a server that allows AI clients like Claude Desktop to query live Reckon data using natural language, by exposing it via the Model Context Protocol (MCP).

Can I use natural language to query Reckon data?

Yes, this server facilitates natural language queries from AI clients, enabling you to retrieve live Reckon information without writing SQL.

Reckon

Name: Reckon
Author: CDataSoftware

0•

Connects to Reckon data from AI clients like Claude Desktop through CData JDBC Drivers, exposing it via a Model Context Protocol (MCP) server.

This tool provides a read-only Model Context Protocol (MCP) server specifically designed to enable Large Language Models (LLMs) such as Claude Desktop to query live Reckon financial data. It leverages CData JDBC Drivers to expose Reckon as relational SQL models, wrapping the driver to make the data accessible through a simple MCP interface. This allows LLMs to retrieve live information by asking natural language questions, eliminating the need for SQL knowledge. A free (beta) read/write version of the server is also available separately for more comprehensive data interaction.

主な機能

01Designed for integration with AI clients like Claude Desktop

020 GitHub stars

03Enables read-only access to Reckon data for LLMs via MCP

04Configurable connection to Reckon data sources

05Translates Reckon data into relational SQL models using JDBC drivers

06Facilitates natural language queries of live data without requiring SQL

ユースケース

01Enabling natural language interaction with Reckon datasets for AI clients

02Allowing large language models (LLMs) to query live Reckon financial data

03Integrating Reckon data into AI-powered applications that support MCP