MCP Server for Microsoft Access is a free, self-hosted solution that gives AI tools access to live Access data. It provides a natural-language interface for finding information and navigating database structures without building a custom AI-to-database integration.
Devart MCP Server for Microsoft Access lets MCP-compatible AI assistants work with information stored in Access databases. Hosted in your environment, it makes data from .accdb and .mdb files available for natural-language questions, including records, tables, saved queries, relationships, and other accessible database content.
Devart ODBC Driver for Microsoft Access provides the connection to Access database files. MCP Server uses the driver to read data and metadata and carry out database operations requested through MCP tools. This allows AI applications to work with Access without requiring a separate integration built for the database format.
Connecting AI to Microsoft Access through MCP turns a conventional AI chat into a practical way of working with live data. It is much faster than manual data export or SQL querying.
Retrieve data, inspect tables, and investigate issues in the most natural and convenient way.
MCP Server for Microsoft Access gives teams a natural-language interface to Access data for analysis, development, troubleshooting, validation, and controlled AI access.
How MCP Server for Microsoft Access helps
Devart MCP Server for Microsoft Access 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 Microsoft Access 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 Microsoft Access with less friction.
The MCP Server is free — no license key, no activation, no expiry. It connects through Devart ODBC Driver for Microsoft Access, which is licensed separately.
Support analysis, troubleshooting, investigation, and plain-language access across everyday data work.
Adopt Microsoft Access AI workflows with expert product guidance and dedicated support throughout setup and rollout.
Use an existing DSN or create a custom Microsoft Access connection.
Integrate Claude, VS Code, Cursor, Codex, or another compatible MCP tool.
Begin querying your Microsoft Access 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 Microsoft Access and start asking questions in plain language.
Developers, database specialists, and teams that maintain existing Access databases and need to understand their structure and logic without opening Access for every question. They can use natural-language queries to explore tables, fields, relationships, saved queries, and linked tables, retrieve relevant records, investigate dependencies, validate data, and troubleshoot issues in existing Access databases.
Operations, finance, sales, and administrative teams that rely on Access databases day to day and need answers in plain language, without building queries or exporting data to Excel.
Teams creating internal assistants or automated workflows that need information held in Access databases. MCP gives those applications a reusable way to work with .accdb and .mdb data, including tables and saved queries, without building a dedicated Access integration for each AI client.
MCP Server for Microsoft Access adds an AI interface to .accdb and .mdb databases through the Model Context Protocol (MCP). Users can ask questions about records and database structures, inspect saved queries, and work with other available Access content from an MCP-capable AI client.
When an AI client invokes an MCP tool, the server works with the configured Access database through Devart ODBC Driver for Microsoft Access. The driver provides access to the file and its available data and metadata, and MCP Server passes the resulting information back to the client.
Yes. Requests are made against the Access database file configured in MCP Server. AI can therefore retrieve its current records and examine available tables, relationships, and saved queries without first copying the database content into another system.
You choose which Access databases are configured for MCP Server and therefore which .accdb or .mdb files can be reached through AI tools. Access is limited to those configured data sources and the database access available through their connections.
Yes. There is no charge for MCP Server for Microsoft Access, and its use does not require activation or expire. Access to .accdb and .mdb files is provided by Devart ODBC Driver for Microsoft Access, which is licensed independently and offers a 30-day trial.
AI can find records, examine table relationships, interpret saved queries, work with accessible linked tables, and investigate data used by reports or business processes. It can also answer ad-hoc questions about information contained in an Access database.
Yes. Available saved queries can be examined to describe what they do and how they work. This includes select, append, update, crosstab, and other query types exposed through the configured Access connection.
Yes, when those tables are accessible through the configured Access database. AI can use local and linked table data together when answering questions, allowing it to follow relationships that extend beyond data physically stored in the Access file.
No. Access databases can be made available through MCP without creating an API around the .accdb or .mdb file. Configure the database in MCP Server and add the server to your AI client; Devart ODBC Driver for Microsoft Access provides the database connectivity needed behind that interface.
Claude, Visual Studio Code, Cursor, Codex, Windsurf, Cline, and Zed are examples of clients that can work with MCP Server for Microsoft Access. Because the database is exposed through MCP, the same Access configuration can also be used by other clients that implement the protocol.
AlloyDB
Clipper
dBase
Dynamics 365
Dynamics 365 Business Central
Firebird
FoxPro
Heroku Postgres
HubSpot
MariaDB
MySQL
NetSuite
Oracle
PostgreSQL
QuickBooks Online
Salesforce
Salesforce Marketing Cloud
SAP Sybase ASE
Snowflake
SQL Server
SQLite
xBase
Zoho CRM
Zoho Desk