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 f · MCP Server · ★ 1.6k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcptools safe to install? View the security audit →
Swiss Army Knife for MCP Servers A comprehensive command-line interface for interacting with MCP (Model Context Protocol) servers. Discover, call, and manage tools, resources, and prompts from any MCP-compatible server. Supports multiple transport methods, output formats, and includes powerful mock and proxy server capabilities. Table of Contents Overview Difference Between the MCP Inspector and MCP Tools Installation Using Homebrew From Source Getting Started Features Transport Options Output Formats Commands Interactive Shell Web Interface Project Scaffolding Server Aliases LLM Apps Config Management Server Modes Mock Server Mode Proxy Mode Guard Mode [Examples](#exa
| Stars | 1,625 |
| Forks | 128 |
| Language | Go |
| Category | MCP Server |
| License | MIT |
| Quality Score | 73.7442594116775/100 |
| Open Issues | 35 |
| Last Updated | 2025-12-18 |
| Created | 2025-03-25 |
| Platforms | go, mcp |
| Est. Tokens | ~1925k |
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mcptools is A command-line interface for interacting with MCP (Model Context Protocol) servers using both stdio and HTTP transport.. It is categorized as a MCP Server with 1.6k GitHub stars.
mcptools is primarily written in Go. It covers topics such as mcp, mcp-server, modelcontextprotocol.
You can find installation instructions and usage details in the mcptools GitHub repository at github.com/f/mcptools. The project has 1.6k stars and 128 forks, indicating an active community.
mcptools is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mcptools on Agent Skills Hub include csharp-sdk, MCP-Chinese-Getting-Started-Guide, brightdata-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: