Offload grunt work from your premium agent to cheap models β auto-routing and billing isolation.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β we're steadily working through the catalog.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Keep your premium subscription on the main thread. Offload the grunt work to cheap models β Cheaplane even picks the right one for you. Stop burning premium tokens on boilerplate.
Cheaplane is a tiny single-file MCP server (~250 lines, stdlib + mcp only) that gives your main agent β e.g. Claude Code on a Max subscription β one extra tool: delegate. Your agent keeps doing the thinking (planning, architecture, final review) and hands replaceable grunt work β boilerplate code, formatting, translation, summarizing long docs β to cheap models behind a local LiteLLM proxy (DeepSeek, Kimi, Qwen, β¦). Think of it as a cheap intern for your premium agent β it churns out the boring parts while you keep thinking.
The trick that makes it safe: the delegated calls and your subscription live in physically separate processes and never share credentials. (why that matters β¬οΈ)
The trick that makes it effortless: auto-routing. delegate(task) picks the right cheap model from the task itself β code β DeepSeek, long docs β Kimi, Chinese β Qwen. (how β¬οΈ)
The trick that makes it stick: a per-turn reminder hook so your agent doesn't forget the tool exists β the part most "delegate" tools skip. And a savings ledger shows you what it kept off your quota.
See it in action β your agent hands a chore over; auto-routing sends it to the cheap code model:
β a real call's output β not a mockup, and no model picked by hand. That token cost ~90Γ less than your premium model, and your subscription quota never moved.
Premium models earn their price on hard problems β but every token counts against your plan, and you burn through quota on churn: reformatting JSON, translating UI strings, summarizing a doc you'll read once. The usual "just use a cheap model" setups force an ugly choice:
Cheaplane keeps the sweet spot: premium main thread for judgment + cheap models for the churn + billing that physically can't cross.
The popular 2026 move is to swap your whole agent onto a cheap model (DeepClaude-style). Great for raw cost β but it downgrades the thread you actually think with, breaks your other MCP tools, and doesn't even apply if you're on a Pro/Max subscription. Cheaplane takes the opposite bet:
| Swap whole agent β cheap model (DeepClaude-style) | Everything via one API key | Cheaplane | |
|---|---|---|---|
| Main thread | β¬οΈ downgraded | β¬οΈ no more subscription | β stays premium |
| Your other MCP tools | β break | β | β (it is an MCP server) |
| Works on a Pro/Max subscription | β API-key only | β replaces it | β built for it |
| Picks the cheap model for you | β one model for everything | β | β
auto routing |
| Shows what you saved | β | β | β
savings ledger |
| Billing | merged into one | one per-token bill | π subscription + cheap, isolated |
Comparison reflects how backend-swap setups (DeepClaude-style) behaved per public reports in mid-2026; specifics vary by tool and can change.
The grunt work is the easy part β paying premium rates for it is pure waste. Per million tokens (public list prices, mid-2026):
| Model | Input | Output | Best for |
|---|---|---|---|
| Claude Opus (API, for reference) | $5.00 | $25.00 | the judgment work you keep |
| DeepSeek V4 Flash | $0.14 | $0.28 | code / formatting |
| Kimi K2 | $0.60β0.95 | $2.50β4.00 | long docs (very large context) |
| Qwen | $0.05β0.40 | $0.20β1.20 | Chinese copy |
That's an output token costing ~$25 on Opus vs ~$0.28 on DeepSeek β about 90Γ more for work that doesn't need the smarts. You're on a subscription, so you don't pay that $25 directly β your main thread spends quota, not dollars. That's the whole point: every routine task you offload is premium quota you keep for the hard problems. (Summarizing a 40-page doc on DeepSeek Flash runs ~$0.005 β your quota never even notices.)
Prices are public list rates, mid-2026, and vary by tier/caching β check each provider. The stable takeaway is the order-of-magnitude gap, not an exact dollar saving.
Most "save money" hacks blur your bills together. Cheaplane keeps them physically apart:
The Cheaplane process never imports your subscription provider's SDK, never reads its auth, never touches its OAuth token. It knows exactly one thing: an HTTP endpoint (your proxy) and its key. Your main thread bills to your subscription; delegated calls bill to your cheap proxy. The two can't cross β not by policy, by architecture.
Fastest path β Claude Code, one script:
setup.sh is idempotent (safe to re-run): it installs deps, registers the delegate MCP server with Claude Code, installs the per-turn reminder hook, and verifies the chain end-to-end. Then start a fresh Claude Code session β done.

Prefer a package? Cheaplane is on PyPI β no clone, no path to hard-code:
You still want the proxy from step 1 below, and the reminder hook is worth it β that part needs the repo.
setup.sh does under the hood1. Get an OpenAI-compatible endpoint for the cheap models. Most people run LiteLLM locally as a proxy in front of DeepSeek / Kimi / Qwen. A minimal config is ~5 lines:
That model_name: deepseek lines up with Cheaplane's default alias, so it works out of the box. (deepseek is a built-in LiteLLM provider β no api_base needed; you'd add one only for a custom or self-hosted endpoint.) Already have an OpenAI-compatible endpoint (LiteLLM, OpenRouter, Ollama, vLLMβ¦)? Skip this and just point DELEGATE_BASE_URL at it.
2. Install Cheaplane β from PyPI, or from a clone if you also want the reminder hook and probe.py:
3. Register it with your MCP client. Installed from PyPI β the command is already on your PATH:
From a clone β copy .mcp.json.example to .mcp.json in the repo root and fix the path (or use claude mcp add):
4. Verify it end-to-end β with your proxy from step 1 running (handshake β list tools β a real delegated call):
delegateYour agent now has delegate(task) β routing is automatic; override only when you want to:
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