Agentcents
Local LLM cost proxy: forecasts each call and recommends the cheapest model that clears the task.
Runs on your machine from its package; the steps are below.
What it does
- Reads
- Writes
- High impact
At most: only reads or looks up information.
What it costs
FreeOdel charges nothing per call. The publisher may charge for its own service.
Runs locally over stdio
This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).
Run
uvx agentcents
MCP client config
{
"mcpServers": {
"agentcents": {
"command": "uvx",
"args": [
"agentcents"
]
}
}
}agentcents — LLM cost consulting skill for Claude
A Claude Skill that turns Claude into a neutral LLM cost advisor: estimate what any call or agent workflow will cost across candidate models, get the cheapest model that clears the task's capability bar, and see the comparison as a Mermaid diagram — with honest ranges, never false point estimates.
Works two ways:
- Consult mode (no install): answers from a bundled, hand-verified snapshot of current model prices and Intelligence Index scores.
- Live mode: if the agentcents proxy is running locally, the skill uses your real ledger — calibrated forecasts, spend, and accuracy instead of priors.
Install
Claude.ai / Desktop: Settings → Capabilities → Skills → Add → upload this
folder (or the packaged .skill).
Claude Code: /plugin marketplace add labham-llc/agentcents-skill
then /plugin install agentcents@labham-skills
Then just ask things like:
what would it cost to classify ~500 support emails a day, about 200 tokens each?
I'm building a 5-step research agent — which model should each step use?
What's in the box
SKILL.md — the consulting method (measure, range, bar, pick, flag instability)
assets/pricing.json — price + capability snapshot (see _meta.verified_utc)
references/local-api.md — live-mode reference for a locally running agentcents
Snapshot verified: 2026-07-15 (see _meta.verified_utc) — refreshed with each agentcents release.
The product behind it
agentcents is a local proxy that meters,
forecasts, and budget-enforces LLM API calls — and grades its own forecasting
accuracy on a calibration page. pip install agentcents. The skill is free;
so is the agentcents free tier.
© Labham LLC · skill instructions and snapshot data may be redistributed with attribution; the agentcents software itself is proprietary (see its LICENSE).
