"Understanding File Reading in Programming" matching MCP servers:

A modular monolith MCP server connecting multiple providers (Redash, PostgreSQL, GitHub) with unified permission, security, and auditing, enabling secure data access and tool execution.

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

Enables LLMs to write, append, and manage files in txt, md, csv, and xlsx formats with append, overwrite, and backup modes, restricted to a specified root directory.

An unofficial MCP server for Percona Everest that enables AI-powered interaction with database clusters, including listing, retrieving details, credentials, and components.

LLM-assisted, safety-gated Postgres migrations exposed as an MCP server, using a deterministic rule engine over Postgres's own parser AST for safety enforcement, with two-phase approval and append-only audit ledger.

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

Provides AI assistants with unified file operations via MCP, supporting Excel, PDF, Word, and SQLite file reading, writing, and querying.

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.

Provides secure, read-only database queries, HTTP GET requests with anti-SSRF protection, and file reading within a restricted directory.

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.

A portfolio MCP server demonstrating four tools (web search, database query, file reading, directory listing) with read-only SQL, filesystem sandbox, and both stdio and HTTP transports.

Enables AI agents to query and act on SAP CAP travel domain data (travels, bookings, customers, agencies) via MCP tools, including unbound actions and security-aware access.

Enables users to manage data in a simple JSON file database through MCP tools and REST API. Supports creating, reading, updating, and deleting items organized in collections with auto-generated UUIDs.

A Cloudflare Workers-based service that enables intelligent searching, automatic code snippet recording, and statistical analysis of programming knowledge stored in Notion databases.

Enables LLMs to discover and query a live Priority ERP installation, including searching screens, understanding column meanings, reading data, aggregating totals, and running programs, over OData v4 and the Priority Web SDK.

SchemaBrain is an MCP server that sits between AI agents (Claude, Cursor, Windsurf) and your SQL database as a read-only trust + intelligence layer. The agent never writes SQL — 12 tools compile it from definitions you control, PII and secret categories are refused before the query runs, and every call lands in a tamper-evident (SHA-256-chained) audit log. Postgres today.

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.

Enables AI agents to safely explore and query a SQLite database in read-only mode, allowing them to inspect schema and run analytical SQL queries without risking data modification.

Provides local MCP tools to query your own Xiaomi Mi Fitness health data (sleep, workouts, heart rate, etc.) stored in a local SQLite database, enabling AI assistants to access personal health records without exposing credentials.

Enables Claude to run read-only SQL queries against the DWH.facturas table in SQL Server, including discovering its columns and asking natural-language questions about invoice data.