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 gabrielekarra · MCP Server · ★ 51
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-anything safe to install? View the security audit →
MCP-Anything Describe what you want. Get a production-ready MCP server. MCP-Anything turns any data source into a fully implemented MCP server — from a plain-language brief describing what agents should be able to do. It also works directly from codebases, OpenAPI specs, gRPC protos, and GraphQL schemas. Two modes, one tool. Quick start 1. Install 2. Write a brief — describe your domain and point at your data source 3. Build
| Stars | 51 |
| Forks | 6 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 68.2360924544309/100 |
| Last Updated | 2026-09-13 |
| Created | 2026-03-14 |
| Platforms | claude-code, cli, mcp, python |
| Est. Tokens | ~15k |
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mcp-anything is One command to turn any codebase into an MCP server. It is categorized as a MCP Server with 51 GitHub stars.
mcp-anything is primarily written in Python. It covers topics such as ai, anthropic, automation.
You can find installation instructions and usage details in the mcp-anything GitHub repository at github.com/gabrielekarra/mcp-anything. The project has 51 stars and 6 forks, indicating an active community.
mcp-anything is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to mcp-anything on Agent Skills Hub include claude-emporium, claude-historian-mcp, mcp-server-atlassian-bitbucket. 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: