freellmpool — security grade SAFE, quality 69/100

Security audit verdict: SAFE · quality 69/100

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 0xzr · MCP Server · ★ 92

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

🔒 Is freellmpool safe to install? View the security audit →

About freellmpool

freellmpool Pool the free tiers of 18 LLM providers (200+ live-validated, 300+ cataloged models) behind one OpenAI-compatible endpoint — as a CLI, a Python library, or a local proxy. Works with no API keys. FAQ: where prompts go, ToS posture, failover, bans, and comparisons. 30-second quickstart Fresh install to first free-model reply takes about 19 seconds on a clean Linux/Python 3.12 environment, with zero API keys: CI runs the same path from this checkout with . Groq, Cerebras, NVIDIA NIM, Google Gemini, OpenRouter, GitHub Models, Cloudflare, Mistral, Cohere and others each give away a free tier — but each has its own SDK, rat

anthropicclaudecodexcursorfailoverfree-llmfree-llm-apigeminigroqllm-gateway

Quick Facts

Stars92
Forks11
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score68.7158991875674/100
Open Issues2
Last Updated2026-08-30
Created2026-06-03
Platformsclaude-code, codex, gemini, mcp, python
Est. Tokens~18k

Compatible Skills

These tools work well together with freellmpool for enhanced workflows:

  • NadirClaw — semantic(0.29)+complementary+shared_fw(openai)+rare_topics+same_lang+shared_platform (72%)
  • NadirClaw — semantic(0.29)+complementary+shared_fw(openai)+rare_topics+same_lang+shared_platform (72%)
  • litAI — semantic(0.33)+complementary+shared_fw(openai)+rare_topics+same_lang+similar_pop+shared_platform (69%)

freellmpool alternative? Top 6 similar tools

Looking for a freellmpool alternative? If you're comparing freellmpool 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.

  • NadirClaw by doramirdor · ⭐ 336

    Open-source LLM router & AI cost optimizer. Routes simple prompts to cheap/local models, complex ones to premi

  • awesome-ai-api-proxy by howardpen9 · ⭐ 81

    One key. Every model. Anywhere. — A curated map of AI API relay stations & LLM gateways.

  • ccproxy by starbaser · ⭐ 350

    Build mods for Claude Code: Hook any request, modify any response, /model "with-your-custom-model", intelligen

  • postman-mcp-server by postmanlabs · ⭐ 316

    Postman MCP Server — connect AI agents (Claude Code, Cursor, VS Code Copilot, Gemini CLI) to your Postman coll

  • SimplerLLM by hassancs91 · ⭐ 219

    Python library for building with LLMs. One interface across 11 providers (OpenAI, Anthropic, Gemini, DeepSeek,

  • cc-multi-cli-plugin by greenpolo · ⭐ 182

    Claude Code plugin: use ChatGPT (Codex), Cursor, OpenCode Zen, and Antigravity models inside one Claude Code s

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Frequently Asked Questions

What is freellmpool?

freellmpool is Free LLM gateway: 22 LLM providers, 178 enabled chat routes, 431 cataloged chat models; keyless start when available.. It is categorized as a MCP Server with 92 GitHub stars.

What programming language is freellmpool written in?

freellmpool is primarily written in Python. It covers topics such as anthropic, claude, codex.

How do I install or use freellmpool?

You can find installation instructions and usage details in the freellmpool GitHub repository at github.com/0xzr/freellmpool. The project has 92 stars and 11 forks, indicating an active community.

What license does freellmpool use?

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

What are the best alternatives to freellmpool?

The top alternatives to freellmpool on Agent Skills Hub include NadirClaw, awesome-ai-api-proxy, ccproxy. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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