"Understanding File Access" matching MCP servers:

An MCP server that gives AI agents access to configured databases (PostgreSQL, MySQL, Redshift, SQL Server) with SSH/AWS SSM tunnels, pluggable secret providers, and strict per-instance isolation.

An MCP server that provides persistent memory for database schemas by storing table structures and metadata in a local SQLite file. It enables LLMs to save, retrieve, and manage database snapshots to maintain a structured understanding of database architectures.

An MCP server that provides read-only access to MySQL databases.

An MCP server providing access to XRootD file systems, allowing LLMs to browse directories, read file metadata, and access contents via the root:// protocol. It supports advanced features like campaign discovery, file searching, and ROOT file analysis for scientific data management.

This read-only MCP Server allows you to connect to Access data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for Access (https://www.cdata.com/drivers/access/download/mcp).

Connects MCP clients to databases like Snowflake, BigQuery, and Databricks through Alkemi's data platform, enabling natural language database queries with proper schema understanding and metadata management for consistent team-wide access.

Enables full read-write access to PostgreSQL databases with transaction management and safety controls, allowing LLMs to query and modify database content.

Enables secure, read-only access to Amazon Redshift data warehouses for AI assistants, allowing schema inspection, query execution, and data understanding.

Provides AI assistants with persistent graph database memory using Neo4j, enabling task management, relationship understanding, semantic search with embeddings, file indexing, and multi-agent coordination through the Model Context Protocol.

Enables AI to interact with Microsoft Access (.mdb, .accdb) and SQLite 3 databases, including read-only support for Access 97 databases. Supports executing SQL queries, importing/export data from CSV and Excel files, and storing notes about database files.

An MCP server that gives LLM clients access to a SQL Server database and the local filesystem, including file operations and image handling.

Enables AI interaction with Microsoft Access and SQLite databases to perform SQL queries, updates, and data management. It supports importing and exporting data via CSV and Excel files and includes tools for managing human-readable notes about database files.

Provides Claude Desktop with secure access to multiple database connections, allowing users to query MySQL, PostgreSQL, SQLite, and SQL Server databases directly through natural language.

Enables unrestricted SQL execution (DDL/DML) on PostgreSQL databases, allowing AI agents to create, read, update, and delete data with zero query filtering.

Enables chat-based interaction with PostgreSQL databases, supporting table listing, queries, write operations, and saved parameterized queries, deployable as a remote MCP server via Cloudflare Workers.

An MCP server that provides targeted PostgreSQL schema access to AI agents, retrieving only relevant tables for a question and enforcing read-only access through multiple layers.

Official SQAI MCP server: governed structured data access powered by Mojo kernels. 3 stdio tools: listSources (discovery), queryData (deterministic read-only queries + compute with provenance), explainQuery (dry-run validation). Introspection needs no credentials; execution requires a one-time free sqai login. npm: @thyn-ai/sqai-mcp. Source: packages/mcp. Registry: io.github.thyn-ai/sqai.

Provides AI agents read-only access to the Autotask Report Data Warehouse for cross-client reporting on finance, contracts, projects, time, and tickets through schema exploration and SQL queries.

Provides secure, read-only access to Snowflake data warehouses, enabling AI assistants to explore schemas, write queries, and analyze data with SSO authentication and smart caching.

A Model Context Protocol server that gives AI agents real-time access to Excel workbooks in OneDrive, answering natural-language questions with live data. It caches only sheet structure, never cell values, and fetches current ranges via Microsoft Graph for each query.