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freellmpool MCP server

by 0xzr·io.github.0xzr/freellmpool·v0.13.0

OpenAI-compatible MCP gateway cataloging 22 LLM providers, with routing, failover, and tools.

A92/100grade A
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Safety scan
A92/100

full report

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Growing

108 stars

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If you have run it, two minutes of your experience saves the next person an afternoon.

freellmpool tools

No tool declarations could be read from the package source. They show once the server is installed.

Public scan report

scanner v0.1.9 · 2026-09-20 · same rubric, same numbers if you re-run it

no findings
  • Code scan76 source files scanned25/25
  • Live reliabilityno gateway calls yet and no remote to proben/a
  • Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 2 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 92/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

What the publisher says

From the freellmpool repository's README, as published. We do not edit it. Read it on GitHub

freellmpool

<!-- mcp-name: io.github.0xzr/freellmpool -->

freellmpool catalogs 22 LLM providers as distinct groups spanning recurring free tiers, keyless endpoints, finite trials, pin-only routes, and disabled candidates. It exposes 178 enabled chat routes and 431 cataloged chat models, and automatically pools only enabled routes you can access behind one OpenAI-compatible endpoint — as a CLI, a Python library, or a local proxy. It can start without credentials when an enabled keyless route is available.

FAQ: where prompts go, ToS posture, failover, bans, and comparisons.

Release and distribution status

0.13.0; pip install freellmpool and uvx freellmpool install the audited provider catalog, bounded streaming and sentinel hardening, Hermes profile, proxy readiness/provider APIs, spread routing, and OpenCode registry-readiness hardening.

  • Latest release: 0.13.0. The GitHub release and PyPI package are both

opencode-freellmpool-tui are tested but not published on npm as of 2026-08-29. Use their repository-local installation instructions for now.

  • Registry publication status: pending. opencode-freellmpool and

30-second quickstart

Fresh install to first free-model reply is measured at about 19 seconds under the 30-second target on a clean Linux/Python 3.12 environment, with no API keys when a keyless provider is up:

# One command when uv is installed; no checkout or manually managed virtualenv:
uvx freellmpool ask --max-tokens 32 "Reply with one short sentence: freellmpool is ready."

Portable virtual-environment path:

python3 -m venv .venv
. .venv/bin/activate
python -m pip install --upgrade pip
python -m pip install freellmpool
freellmpool ask --max-tokens 32 "Reply with one short sentence: freellmpool is ready."

CI runs the same path from this checkout with FREELLMPOOLQUICKSTARTPACKAGE=. scripts/quickstart-test.sh.

The catalog covers provider-operated free tiers, keyless routes, and a few explicit finite-trial or disabled candidates. Eligibility and limits differ by provider. freellmpool automatically uses only enabled routes you can access, fails over when one is rate limited or down, and tracks local per-day usage.

Several providers (Pollinations, OVHcloud, and Kilo Gateway) need no API key, and LLM7 works without one, so the quickstart can answer without signup when a keyless provider is available.

To inspect your local provider keys, agent CLIs, proxy config, and Tailscale state before wiring tools, run the print-only init wizard:

freellmpool init --yes
freellmpool init --yes --agent opencode
freellmpool init --yes --agent metaswarm --tailnet

Add keys for the other providers to unlock more models and higher limits.

Local runtimes (explicit, pin-only)

LM Studio, Ollama, and llama.cpp can be previewed from a fixed list of literal loopback endpoints without scanning your LAN or processes:

freellmpool local discover
freellmpool local discover --name lm_studio
freellmpool local import --name lm_studio --yes
freellmpool ask --providers local_lm_studio --model "<model-from-discover>" "hello"

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Install directly

claude mcp add freellmpool -- uvx freellmpool
Add to Cursor

freellmpool: common questions

Is freellmpool MCP server safe?
Yes, by our scan: it is graded A (92/100). Read the freellmpool safety report
How do I install freellmpool?
It runs on your machine. Copy the Claude Code, Claude Desktop or Cursor config from the install section.
Does freellmpool need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is freellmpool maintained?
The last commit was 2 days ago (2026-09-18). The latest release is v0.13.0.
What can I use instead of freellmpool?
Servers from other publishers that do the same job: BridgeNode MCP server, Local Delegate MCP server and Fidelis Memory MCP server. Compare all freellmpool alternatives.

Alternatives to freellmpool

Same job from other publishers: the closest match first, then the best rated.

All freellmpool alternatives →
  • BridgeNode MCP
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    A
  • Local Delegate
    Delegate mechanical text tasks to a local OpenAI-compatible LLM to save Claude quota.
    B
  • Fidelis Memory
    Recall locally stored agent memories through an MCP-compatible host.
    B
  • Ask Codex
    Bridge Claude with OpenAI Codex CLI for AI-to-AI collaboration, code review, and second opinions
    A
  • AISIX AI Gateway
    Self-hosted AI gateway that governs MCP servers, LLM traffic, and A2A agents behind one endpoint
    A

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