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freellmpool

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

Connector by 0xzr · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)★ 134
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Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/0xzr-freellmpool

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

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

Use cases: model-inference, llm-evaluation

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools
11 read · 2 write · 0 delete · 1 not yet classified
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Tools by what they do 14

Read from the source code; the running server may list different tools.

Read 11 · Look things up without changing anything.

  • free_llm_ask
  • free_llm_battle
  • free_llm_models
  • free_llm_panel
  • free_llm_quota
  • free_llm_quota_wise
  • free_llm_roles
  • free_llm_route
  • free_llm_stats
  • free_llm_tailnet_info
  • get_weather

Write 2 · Create, change, send or run things.

  • free_llm_recipe
  • free_llm_second_opinion

Not yet classified 1 · We could not tell from the name and description.

  • tokenmax

Tools (14)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • free_llm_ask

    Ask a free LLM (pooled across configured free providers, with automatic failover). Offload a self-contained subtask — drafting, summarizing, classifying, brainstorming, a quick lookup — to a free model. The reply tells you which provider/model actually served it.

  • free_llm_battle

    Compare a prompt across a small bounded panel of free models and render the result as a Markdown comparison table. Bounded to a few models (2-5) — for the broader eligible-target stress test use `tokenmax`. Per-model failures stay visible in the rendered output rather than failing the whole call.

  • free_llm_models

    List the available free provider/model ids freellmpool can route to.

  • free_llm_panel

    Ask the SAME prompt to several different free models at once and get every answer back side by side - the agent-facing second-opinion surface. Great for cross-checking a fact, comparing approaches, or reducing single-model bias. Optionally have a strong model synthesize the best combined answer.

  • free_llm_quota

    Show today's free-tier usage (UTC): per-provider request counts and daily-limit headroom, plus session totals and estimated cost avoided.

  • free_llm_quota_wise

    Show local quota-wise status and headroom advice built from your locally tracked counters. Active mode, recommended mode, and per-provider used / limit / remaining. Output NEVER recommends account rotation or rate-limit bypass — it only suggests waiting for reset, lowering fan-out or token budget, or making an explicit paid choice outside the default flow.

  • free_llm_recipe

    Run a bundled recipe end-to-end (e.g. `pr-review`, `second-opinion`, `repo-summary`). Recipes are bounded, role-driven, and pre-shaped — supply `name` plus whatever inputs the recipe declares. Missing recipe input or template variables return a tool error, never a traceback.

  • free_llm_roles

    List bundled ask-role presets (e.g. `coder`, `critic`, `summarizer`, `second-opinion`) with their routing mode, max-tokens, temperature, and recommended use. Pass `name` to get the full details for one role.

  • free_llm_route

    Explain where a prompt WOULD be routed without spending a single token: the estimated difficulty and the ranked list of candidate models (with capability scores) for the chosen routing mode. Use it to understand or debug routing.

  • free_llm_second_opinion

    Run the shared small-panel second-opinion flow. Same behavior as `free_llm_panel` — exposed as its own agent-facing tool so callers can declare their intent (a *second opinion*) without reasoning about the panel primitive. The panel size is bounded (2-5) and the per-model token budget is clamped.

  • free_llm_stats

    Show freellmpool's LIFETIME totals (persisted across restarts): tokens served free, requests, and estimated cost avoided vs Claude Opus 4.8 — the number that keeps growing.

  • free_llm_tailnet_info

    Show safe Tailscale Tailnet connection instructions for serving `freellmpool proxy` on another machine. Includes the local Tailnet IPv4, status, and OpenAI / Anthropic client env-var hints. Output NEVER contains a real local bearer token — it uses a `<proxy-key>` placeholder — and never leaks provider API keys. Degrades cleanly when `tailscale` is absent.

  • get_weather

    return weather

  • tokenmax

    Description is built at runtime.

Signals

Stars
134
Forks
22
Open issues
2
Weekly downloads
543
Last commit
Oct 8, 2026 (21 days ago)
Last release
Aug 30, 2026 (2 months ago)
Last package publish
Aug 30, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.0xzr/freellmpool
Version
0.13.0
Auth
No auth
Packages
pypi freellmpool
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 25, 2026
Cite this page

freellmpool MCP server. Agent Mart. https://agentmart.dev/connectors/0xzr-freellmpool (last updated 2026-10-25)