No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by microsoft · MCP Server · ★ 3.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp safe to install? View the security audit →
🌟 Microsoft MCP Servers 📘 What is MCP? Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to large language models (LLMs). It allows AI applications to connect with various data sources and tools in a consistent manner, enhancing their capabilities and flexibility. MCP follows a client-server architecture: MCP Hosts: Applications like AI assistants or IDEs that initiate connections. MCP Clients: Connectors within the host application that maintain 1:1 connections with servers. MCP Servers: Services that provide context and capabilities through the standardized MCP. For more details, visit the official MCP website. 📁 Which MCP Servers are built from this repository? This repository contains core libraries, test frameworks, engineering systems, pipelines, and tooling for Microsoft MCP Server contributors to unify engineering investments; and reduce duplication and divergence: [Azure MCP C
| Stars | 3,699 |
| Forks | 627 |
| Language | C# |
| Category | MCP Server |
| License | MIT |
| Quality Score | 50.9007875770732/100 |
| Open Issues | 301 |
| Last Updated | 2026-09-23 |
| Created | 2025-04-09 |
| Platforms | dotnet, mcp |
| Est. Tokens | ~27k |
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mcp is Catalog of official Microsoft MCP (Model Context Protocol) server implementations for AI-powered data access and tool integration. It is categorized as a MCP Server with 3.7k GitHub stars.
mcp is primarily written in C#.
You can find installation instructions and usage details in the mcp GitHub repository at github.com/microsoft/mcp. The project has 3.7k stars and 627 forks, indicating an active community.
mcp is released under the MIT license, making it free to use and modify according to the license terms.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: