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llm-quota-mcp

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Inspect LLM API rate-limit headers and locally recorded Hermes Agent usage through a CLI, Python API, or stdio MCP server. This is not a monthly-credit balance or subscription-quota tracker: unavailable fields remain None/null with explanatory notes.

Example quota report

What it reads

  • Anthropic: a count_tokens probe and any rate-limit headers returned. The probe does not generate a paid completion; headers may be absent.

  • OpenAI: a minimal chat completion to inspect request/token windows. This is a real API call with a small token cost. An optional organization Admin API key enables historical usage/cost queries; a normal project key does not.

  • Hermes: local token and cost records obtained through hermes sessions export. This reports usage already incurred, not remaining provider quota.

Related MCP server: Claude Code Usage

Install

Requires Python 3.10+. Provider probes use requests; the MCP extra installs the MCP SDK. The Hermes reader additionally needs a compatible hermes executable on PATH.

git clone https://github.com/zhuhroscar-tech/llm-quota-mcp.git
cd llm-quota-mcp
python3 -m venv .venv
source .venv/bin/activate
pip install -e ".[mcp]"
llm-quota --help

For CLI-only use, install with pip install -e . instead.

CLI and Python

Provide ANTHROPIC_API_KEY or OPENAI_API_KEY through your local secret-management environment. Optional OpenAI settings are OPENAI_ADMIN_API_KEY and OPENAI_ORG_ID.

llm-quota anthropic --json
llm-quota openai --json
llm-quota hermes --newer-than 24h --json

Use --model to select a model your provider key can access. Network/authentication errors or unsupported probe models can prevent a report.

import os
from llm_quota import get_anthropic_quota

quota = get_anthropic_quota(api_key=os.environ["ANTHROPIC_API_KEY"])
print(quota.requests.remaining, quota.requests.reset_at)

MCP setup

Register llm-quota-mcp as a stdio server in your host. A host using the mcpServers convention can use:

{
  "mcpServers": {
    "llm-quota": {"command": "/absolute/path/to/.venv/bin/llm-quota-mcp"}
  }
}

Replace the executable path. Supply secrets to the server process using your host's environment/secret mechanism; configuration schemas differ by host. Tools are check_anthropic_quota, check_openai_quota, and check_hermes_usage.

Safety and tests

Never commit keys or paste them into agent conversations. Prefer environment credentials over per-call key arguments, and grant Admin API access only when needed. Results can contain sensitive usage/cost information. Rate-window snapshots are not guarantees that a later request will succeed.

pip install -e ".[dev]"
pytest -v

Provider tests mock HTTP; live account behavior is not established by those tests. Hermes integration coverage depends on an available compatible CLI. MIT license.

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