"Techniques for Analyzing and Interacting with Large MS SQL Databases" matching MCP servers:

Enables downloading real binary files from Egnyte and uploading large files with chunked support, complementing the official Egnyte MCP connector.

Enables intelligent handling of large files through smart chunking, search with regex support, line navigation, and streaming capabilities without loading entire files into memory.

A stdio-based MCP server for fast, bounded search and navigation of large code repositories using ripgrep, with tools for project-wide search, symbol lookup, file listing, and code reading.

Enables MCP clients such as GitHub Copilot, Codex, Claude... to explore a SQL Server 2017+ database read-only: databases, schemas, tables, views, procedures, functions, indexes and dependency graphs, plus filtered, grouped, sampled and paginated queries capped by row limits.

Automatically scans SQLite databases and generates typed CRUD tools for each table, allowing natural language database interaction without exposing raw SQL.

MCP server for text-to-speech synthesis using Azure Speech Services, supporting 6 languages with high-quality neural voices and smart voice selection.

Enables MCP clients like Codex to execute BIOVIA Materials Studio modeling, Forcite, DMol3, CASTEP jobs, GUI queues, and result reading through the official MaterialsScript runtime with isolated workspaces and security controls.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

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.

MCP server that enables natural-language SQL queries across multiple databases (ClickHouse, Teradata, PostgreSQL, MySQL, SQL Server, DB2, Oracle, MongoDB) with dialect-correct SQL generation, PII masking, and security-by-construction controls.

MCP server that integrates sql-sop SQL linter into LLM clients, enabling linting SQL queries and listing lint rules via chat tools.

Enables AI clients to safely query PostgreSQL databases using plain English, with read-only access and built-in SQL safety checks.

Enables read-only SQL Server queries across multiple environments with secure keychain credential storage, catalog exploration, and built-in safety guards against destructive operations.

Enables AI assistants to securely access your own Microsoft 365 data—Outlook mail and calendar, OneDrive, SharePoint, Teams chat, To Do, Planner, Entra ID, and Intune—through Microsoft Graph with delegated permissions.

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

Enables Claude and other AI agents to build, edit, and analyze Microsoft Project desktop schedules on Windows through natural language, covering tasks, WBS, dependencies, resources, calendars, baselines, critical path, resource leveling, and earned value, with live changes in Project and single-step undo. It also exports results to PDF or CSV and reads project health and time-phased data for S-curves and histograms.

MCP server for SQL Server database inspection and querying, with connection pooling, security features, and a web manager UI.

Enables AI assistants to execute SQL queries and explore databases, tables, and catalogs on Databricks using Unity Catalog.

Enables AI agents to explore MySQL database schemas as structured models, inspect tables, columns, keys, revisions, and generate migration scripts through a read-only interface that never exposes row data or write access.

A local MCP server for read-only SQL Server / MS Fabric queries. It authenticates as the user via Entra ID and runs one server process per tenant.