Green MCP

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

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5 read · 0 write · 0 delete · 1 not yet classified

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Python package

Tools (6)

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

• compare_energy

  Measure two commands and report which consumes less energy and by what margin. Only meaningful if both commands are functionally equivalent (same outputs for the same inputs) — verify that separately before drawing conclusions.

• compare_tokens

  Measure two programs' token use and report which uses fewer, by how much. Only meaningful if both produce acceptable equivalent results — verify that separately (fewer tokens with worse answers is not a win).

• energy_backend_info

  Report whether energy measurement is available on this host and which backend would be used. Call this before measure_energy to know if the energy axis works here — on a machine with no reachable CPU power sensor it returns energy_available: false, and you should rely on the token axis (or say energy can't be measured) rather than estimate.

• measure_energy

  Measure the electrical energy (joules) a shell command consumes while running. Methodology: samples CPU package power at 100 ms during the run, subtracts a separately measured idle baseline, repeats the run (default 3x) and reports mean/stdev/CV. Use absolute paths; wrap any path containing spaces in double quotes. Expect ~(idle_seconds + repeats x runtime) of wall time.

• measure_tokens

  Measure how many LLM tokens a program consumes when it runs (works on any machine — no special hardware). The program must read `base_url_env` for its LLM endpoint (most SDKs do); we point that at a non-blocking counting proxy forwarding to `upstream`, run the program, and report real provider `usage` (input/output/total tokens, call count). For a non-Anthropic target, pass its provider's base-url env var and upstream (e.g. OPENAI_BASE_URL, https://api.openai.com). If llm_calls is 0, the target didn't route through base_url_env.

• verify_equivalence

  Run two commands and compare stdout + exit code. The gate before any energy/token comparison. With no stdin_inputs it's a single-input smoke test. Pass stdin_inputs (a list of strings fed to each program's stdin) to run an input BATTERY — all inputs must match. Stronger evidence still comes from running the project's own test suite.

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Weekly downloads

33

Last commit

Aug 26, 2026 (2 months ago)

Last release

Jul 27, 2026 (3 months ago)

Last package publish

Jul 27, 2026 (3 months ago)

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

Details

Registry name

io.github.rlawogh1005/green-mcp

Version

0.1.2

Auth

No auth

Packages

pypi green-mcp

License

MIT

Repository

github.com/rlawogh1005/green-mcp

First seen

Oct 24, 2026

Last checked

Oct 24, 2026

Source

Official MCP Registrygithub-graphql