mcp-workspace — security grade SAFE, quality 77/100

Security audit verdict: SAFE · quality 77/100

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 MarcusJellinghaus · MCP Server · ★ 50

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is mcp-workspace safe to install? View the security audit →

About mcp-workspace

MCP File System Server A simple Model Context Protocol (MCP) server providing file system operations. This server offers a clean API for performing file system operations within a specified project directory, following the MCP protocol design. Overview This MCP server enables AI assistants like Claude (via Claude Desktop) or other MCP-compatible systems to interact with your local file system. With these capabilities, AI assistants can: Read your existing code and project files Write new files with generated content Update and modify existing files with precision using exact string matching Make selective edits to code without rewriting entire files Delete files when needed Review repositories to provide analysis and recommendations Debug and fix issues in your codebase Generate complete implementations based on your specifications All operations are securely contained within your specified project directory, giving you control while enabling powerful AI collaboration on your local files.

claude-codeclaude-desktopfile-operationsfilesystemmcpmcp-servermodel-context-protocolopen-source

Quick Facts

Stars50
Forks15
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score77.1694410169222/100
Open Issues16
Last Updated2026-08-04
Created2025-03-10
Platformsclaude-code, mcp, python
Est. Tokens~18k

Compatible Skills

These tools work well together with mcp-workspace for enhanced workflows:

  • Gitingest-MCP — semantic(0.58)+same_lang+similar_pop+shared_platform (50%)
  • OpenViking — semantic(0.15)+complementary+rare_topics+same_lang+shared_platform (50%)

mcp-workspace alternative? Top 6 similar tools

Looking for a mcp-workspace alternative? If you're comparing mcp-workspace with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • mcp-fusion by vinkius-labs · ⭐ 204

    MCP Fusion - The framework for AI-native MCP servers.

  • fast-filesystem-mcp by efforthye · ⭐ 59

    A high-performance Model Context Protocol (MCP) server that provides secure filesystem access for Claude and o

  • penpot-mcp by montevive · ⭐ 237

    Penpot MCP server

  • easy-mcp by zcaceres · ⭐ 196

    Absurdly easy Model Context Protocol Servers in Typescript

  • claude-historian-mcp by Vvkmnn · ⭐ 177

    📜 An MCP server for conversation history search and retrieval in Claude Code

  • PolyMCP by poly-mcp · ⭐ 170

    Polymcp provides a simple and efficient way to interact with MCP servers using custom agents

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Frequently Asked Questions

What is mcp-workspace?

mcp-workspace is MCP Workspace Server: A secure Model Context Protocol server providing file, git, and GitHub tools for AI assistants within a sandboxed project directory.. It is categorized as a MCP Server with 50 GitHub stars.

What programming language is mcp-workspace written in?

mcp-workspace is primarily written in Python. It covers topics such as claude-code, claude-desktop, file-operations.

How do I install or use mcp-workspace?

You can find installation instructions and usage details in the mcp-workspace GitHub repository at github.com/MarcusJellinghaus/mcp-workspace. The project has 50 stars and 15 forks, indicating an active community.

What license does mcp-workspace use?

mcp-workspace is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to mcp-workspace?

The top alternatives to mcp-workspace on Agent Skills Hub include mcp-fusion, fast-filesystem-mcp, penpot-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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