"MSI" matching MCP servers:

Enables reading MSI installer metadata, analyzing Windows software packages, and generating silent installation commands. Provides comprehensive MSI file analysis including features, components, and registry-based installed application management.

MCP server that exposes the JsonFabrica API as tools, so an AI agent can generate realistic synthetic JSON test data while it codes — single documents or full relational batches from reusable templates, reproducible with a seed. Runs locally over stdio; no network service.

Enables LLM assistants to analyze PostgreSQL query execution plans with EXPLAIN and receive structured reports highlighting performance bottlenecks, all through read-only database access.

Enables querying package ecosystem data from ecosyste.ms, including package metadata, versions, security advisories, dependencies, and repository information across 40+ package registries with fast local SQLite lookups and API fallback.

Enables interaction with Microsoft SQL Server and Azure SQL databases through natural language, supporting queries, schema exploration, stored procedures, and complete database operations with connection pooling and security features.

Helps construct and validate Microsoft Graph REST API calls with on-demand tool loading, providing request details, required permissions, and code examples for categories like users, files, mail, calendar, groups, notes, tasks, sites, and subscriptions.

Enables connecting to local or remote MS SQL Server instances and provides tools for testing connections, listing databases and tables, describing schemas, and executing T-SQL queries.

Enables AI models to interact with MS SQL Server databases through a standardized interface. Supports executing SQL queries with parameters, listing tables, and describing table schemas.

Enables AI agents to interact with Microsoft Fabric by exposing tools for managing workspaces, notebooks, SQL queries, pipelines, and Livy Spark sessions. It provides a comprehensive set of operations for data engineering and analytics tasks using standard Azure authentication.

An MCP server for evaluating C# project architecture quality using the Modularity Maturity Index (MMI) framework. It provides tools for detecting layering violations, circular dependencies, and encapsulation issues with interactive D3.js visualizations.

Provides real-time access to Material-UI component documentation, enabling users to search, browse, and generate MUI React components with up-to-date props and examples directly from official documentation.

Provides API documentation browsing, code generation, and code review for Minecraft 1.21.1 Forge and NeoForge modding.

This is an MCP (Model Context Protocol) server for the EVE Online ESI API that supports both local (stdio) and remote (OAuth-enabled) connections.

Provides AI-powered tools to apply UX/UI best practices, Nielsen's heuristics, cognitive biases, and Material-UI patterns to React components. Enables automated application of responsive design, Apple design patterns, and complete UX guidelines through natural language commands.

Enables AI coding assistants to directly control CSI ETABS for structural and seismic analysis, including model inspection, material/section definition, frame generation, solver execution, and result extraction through natural language.

A local MCP server that runs Llama models entirely on your machine. No API keys, no cloud costs, 100% private and offline-capable.

Enables local MCP clients to search software names, look up exact identifiers, and retrieve project summaries, packages, and direct dependencies from ecosyste.ms Science, with an optional offline SQLite snapshot for lookup.

Provides MCP tools for searching, listing, and retrieving MST developer documentation.

A TypeScript-based MCP server that connects with MCP clients like Claude, VS Code, and Cursor, providing tools like echo, sum, time, and customizable prompts.

Enables AI coding assistants to persist and recall project-specific conventions, prohibitions, and repair lessons locally, with approved rule injection before tasks and no external API calls.