MCP Server for xBase is a free, self-hosted solution that provides AI tools with access to live data stored in .dbf files. It provides a natural-language interface for working with legacy database content and finding information without developing a custom AI-to-database integration.
Devart MCP Server for xBase connects AI assistants and agents to xBase data through the Model Context Protocol (MCP). This free, self-hosted solution allows AI tools to query records, explore table structures, and work with data stored in .dbf files using natural-language requests without requiring a custom AI-to-database integration.
In the background, MCP Server uses Devart ODBC Driver for xBase to access dBASE, FoxPro, Visual FoxPro, and Clipper files and provide structured access to their data and metadata. The driver handles connectivity and query execution, while MCP Server processes requests from AI clients and returns the requested results.
Connecting AI to xBase data through MCP turns a conventional AI chat into a practical way of working with live .dbf tables. It is much faster than manual data export or SQL querying.
Retrieve data, inspect table structures, and investigate issues in the most natural and convenient way.
MCP Server for xBase gives teams a natural-language interface to xBase data for analysis, development, migration, troubleshooting, validation, and controlled AI access.
How MCP Server for xBase helps
Devart MCP Server for xBase gives teams a more practical way to bring AI into data workflows — with secure deployment, easier setup, and less custom integration work.
Keep AI-to-data access inside your environment with a secure, controlled xBase MCP layer.
Start faster with a ready MCP Server instead of building and maintaining a custom integration from scratch.
Connect Claude, VS Code, Cursor, Codex, and other MCP-compatible tools to xBase with less friction.
The MCP Server is free — no license key, no activation, no expiry. It connects through Devart ODBC Driver for xBase, which is licensed separately.
Support analysis, troubleshooting, investigation, and plain-language access across everyday data work.
Adopt xBase AI workflows with expert product guidance and dedicated support throughout setup and rollout.
Use an existing DSN or create a custom xBase connection.
Integrate Claude, VS Code, Cursor, Codex, or another compatible MCP tool.
Begin querying your xBase data in natural language through the MCP layer.
Download and set up the free, self-hosted MCP Server to securely connect your AI tools to xBase and start asking questions in plain language.
Developers, data engineers, architects, and migration specialists who work with legacy dBASE, FoxPro, Clipper, and other xBase systems and need to understand their data without relying on the original applications. They can use natural-language queries to explore .dbf tables, inspect fields, data types, and memo data, retrieve and compare records, investigate relationships between legacy datasets, and gather the context needed for migration, integration, or modernization projects.
Operations, finance, and records teams that still depend on xBase data and need answers in plain language, without relying on legacy applications or manual exports.
Teams bringing AI into workflows that still depend on dBASE, FoxPro, Visual FoxPro, or Clipper data. MCP provides a practical way for modern AI tools to work with legacy .dbf data without building a separate integration for each application.
MCP Server for xBase is a self-hosted solution that connects AI assistants and agents to xBase data through the Model Context Protocol (MCP). It provides a standard way to query records, inspect table structures, and work with .dbf files using natural-language requests.
AI clients send MCP tool calls to the server, which accesses xBase data through Devart ODBC Driver for xBase. MCP Server performs the requested operations against the configured data source and returns structured results to the AI client.
Yes. AI assistants can work directly with data in the connected .dbf files, retrieve records, and inspect available table and field metadata. This allows users to analyze current xBase data without preparing separate exports.
MCP Server runs in your environment and uses the xBase connection you configure. This gives you control over which data sources are available through the server and which .dbf files AI tools can access.
Yes. MCP Server for xBase is free to download and use, with no license key, activation, or expiration. Connectivity is provided through Devart ODBC Driver for xBase, which is licensed separately and includes a 30-day trial.
AI assistants can explore .dbf tables, inspect fields and data types, work with memo data, retrieve records that match specified criteria, examine deleted-record information when available, and perform ad-hoc analysis on legacy data.
Yes. AI can inspect available metadata for .dbf tables, including fields and data types, and explain the table structure in plain language. It can also work with memo fields when they are available through the configured data source.
When deleted-record information is available through the connection, AI can use it to distinguish records marked for deletion from active records. This can help when examining legacy datasets that still contain logically deleted rows.
No. Configure your xBase data source in MCP Server and connect the server to an MCP-compatible AI client. Devart ODBC Driver for xBase provides access to the underlying files, so you do not need to develop a separate API layer.
MCP Server for xBase works with Claude, Visual Studio Code, Cursor, Codex, Windsurf, Cline, Zed, and other MCP-enabled clients. This makes legacy xBase data accessible from modern AI tools through a common MCP interface.
AlloyDB
Dynamics 365
Dynamics 365 Business Central
Firebird
Heroku Postgres
HubSpot
MariaDB
Microsoft Access
MySQL
NetSuite
Oracle
PostgreSQL
QuickBooks Online
Salesforce
Salesforce Marketing Cloud
SAP Sybase ASE
Snowflake
SQL Server
SQLite
Zoho CRM
Zoho Desk