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  3. LLM Usage
MCP server · Commerce

LLM Usage

Local-first, multi-provider tool that captures LLM API spend and exposes it to coding agents via MCP

Unclaimed commerce
37Low

Scored 3 months ago · breakdown

About LLM Usage

LLM Usage is an MCP server in the Commerce category: local-first, multi-provider tool that captures LLM API spend and exposes it to coding agents via MCP.

Install

uvx
uvx llm-usage-mcp
pip
pip install llm-usage-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (7)

compare_providersGiven a hypothetical workload (tokens in / out), rank every priced model by cost.

Parameters not published.

get_pricingInspect the vendored pricing snapshot.

Parameters not published.

list_providersList providers + their models + OpenAI-compatibility flag.

Parameters not published.

query_spendTotals + per-group rollups over a time window (group by provider / model / project / tag / day).

Parameters not published.

recommend_providerPick the cheapest priced model that fits a stated budget.

Parameters not published.

record_usageManual write path — log a call when the capture proxy isn't in the picture.

Parameters not published.

usage_summaryHeadline summary for `today` / `week` / `month` / `year` — totals, top-N providers + models, largest call.

Parameters not published.

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Security checks

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Questions

About LLM Usage

How do I install LLM Usage?

Run uvx llm-usage-mcp, then add the server to your MCP client's configuration.

Is LLM Usage safe to use with an AI agent?

Its trust score is 37 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is LLM Usage still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.