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 runapi-ai · MCP Server · ★ 56
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp safe to install? View the security audit →
RunAPI MCP Server AI image generation, video generation, music creation, text-to-speech, prompt search, and model discovery — 130+ models from Flux, Kling, Seedance, Veo, Suno, ElevenLabs, Claude, GPT, Gemini, and 18 providers in one MCP server. Works with Claude Code, Codex, Cursor, Windsurf, VS Code, Roo Code, and any MCP-compatible host. Quick Start | Tools | Examples | Catalog | Platforms What Is This? RunAPI MCP Server connects MCP-compatible coding tools to RunAPI. It lets an assistant browse the RunAPI catalog, inspect model inputs, check current pricing snapshots, create media tasks, poll task status, and check account balance. The discovery tools work without an API key because
| Stars | 56 |
| Forks | 0 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 74.7514689420413/100 |
| Open Issues | 10 |
| Last Updated | 2026-09-30 |
| Created | 2026-06-03 |
| Platforms | claude-code, mcp, node, vscode |
| Est. Tokens | ~16k |
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mcp is RunAPI MCP server for model discovery, pricing lookup, media task creation, and balance checks.. It is categorized as a MCP Server with 56 GitHub stars.
mcp is primarily written in TypeScript. It covers topics such as ai, audio-generation, claude-code.
You can find installation instructions and usage details in the mcp GitHub repository at github.com/runapi-ai/mcp. The project has 56 stars and 0 forks, indicating an active community.
mcp 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 on Agent Skills Hub include comfy-pilot, openrouter-mcp-multimodal, guaardvark. 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: