llm-oracle

Name: llm-oracle
Author: weiseer

by weiseerversion 0.2.0i★ –iRuns on your computer

Registry nameio.github.weiseer/llm-oracle

Install

Overview

Description from the maker (original English)

Up-to-date LLM pricing + availability catalog with cited sources for AI agent routing.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: LLM_ORACLE_URL, LLM_ORACLE_LOCAL_ONLY

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "llm-oracle": {
      "command": "npx",
      "args": [
        "-y",
        "@weiseer/llm-oracle-mcp"
      ],
      "env": {
        "LLM_ORACLE_URL": "your-value",
        "LLM_ORACLE_LOCAL_ONLY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add llm-oracle --env LLM_ORACLE_URL=your-value --env LLM_ORACLE_LOCAL_ONLY=your-value -- npx -y @weiseer/llm-oracle-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "llm-oracle": {
      "command": "npx",
      "args": [
        "-y",
        "@weiseer/llm-oracle-mcp"
      ],
      "env": {
        "LLM_ORACLE_URL": "your-value",
        "LLM_ORACLE_LOCAL_ONLY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "llm-oracle": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@weiseer/llm-oracle-mcp"
      ],
      "env": {
        "LLM_ORACLE_URL": "your-value",
        "LLM_ORACLE_LOCAL_ONLY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

LLM_ORACLE_URL env
Override the remote catalog URL (default https://oracle.weiseer.com/catalog.json)
LLM_ORACLE_LOCAL_ONLY env
Set to any value to skip remote fetch and use bundled catalog only

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account weiseer, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 7281 servers in this category
Published to the registry more recently than 14% of the other 7281 servers in this category
Basic checks equal to or better than 100% of the other 7281 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is llm-oracle safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

llm-oracle

Continuously-updated catalog + query API for LLM provider availability and pricing.

Built by weiseer.

What it does

Given a question like *"for this prompt of N input tokens plus M expected output tokens, which currently-available model offers the lowest cost?"* the oracle answers in milliseconds, with the source URL it used for the pricing claim.

Use it as:

an MCP server for AI agents that need to make routing decisions at inference time
an HTTP JSON API for any tool that wants up-to-date LLM pricing/availability
a raw catalog.json you can audit, vendor, or contribute fixes to

Why

LLM pricing changes monthly. Every multi-model app rebuilds the same lookup table. We maintain it so you don't.

Cited: every pricing row links to the provider's official documentation
Versioned: as_of timestamp on every response so you know how fresh the data is
Open: catalog is public JSON, MIT licensed; client/server code is Apache-2.0
Cross-checked: source data verified against the open-source LiteLLM price file where overlap exists

Coverage (v0)

5 providers, ~10 models. Growing as we observe demand.

Anthropic: Claude Opus 4.7, Sonnet 4.6, Haiku 4.5
OpenAI: GPT-5, GPT-4o
Google: Gemini 2.5 Pro, Gemini 2.5 Flash
DeepSeek: Reasoner, Chat
Mistral: Large

Quickstart

As an MCP server (Claude Desktop, Cursor, Continue, Cline, etc.)

git clone https://github.com/weiseer/llm-oracle

cd llm-oracle

Add to your MCP client config:

"mcpServers": { "llm-oracle": { "command": "python", "args": ["/absolute/path/to/llm-oracle/mcp_server.py"] } } }

The agent now has tools:

list_models(provider?, capability?) → list models, optionally filtered
get_model(model_id) → full record for one model
find_cheapest(input_tokens, output_tokens, required_capabilities?) → ranked by estimated cost
compare_models(model_ids[], input_tokens?, output_tokens?) → side-by-side
check_availability(model_id) → current status with cited source

As an HTTP API

# Free tier: 1,000 calls/day per IP, no key

curl https://oracle.weiseer.com/catalog.json curl 'https://oracle.weiseer.com/cheapest?input_tokens=2000&output_tokens=500' curl https://oracle.weiseer.com/models/claude-sonnet-4-6

As raw JSON

curl https://oracle.weiseer.com/catalog.json > my-local-catalog.json

Pricing

Tier	Calls	Cost
Free	1,000/day	$0
Pro	100,000/month	$5 USDC/mo
Scale	1,000,000/month	$20 USDC/mo
Raw catalog	unlimited	$0 (always free)

Paid tiers settle in USDC. Email wei@weiseer.com to subscribe; we issue an API key and confirm receipt. (We'll automate this when the first three paid customers exist.)

Schema

See catalog.json for the canonical schema. Per-model fields include model_id, provider, family, context_window, max_output_tokens, input_price, output_price, cached_input_price, capabilities, availability_status, source URLs, and timestamps.

Update cadence

Pricing: daily cron + manual when a price change is publicly announced
Availability: 5-minute poll of provider status pages where available; daily smoke-test otherwise

Errors and disagreements

Found a stale price? An incorrect capability flag? A missing model? Open an issue — please include the source URL we should be tracking.

Telemetry

The hosted service logs each request as a single event (caller, query summary, latency, paid status) to weiseer's append-only audit ledger. The MCP server you self-host logs nothing.

Building on this

The catalog format is MIT licensed. Vendor it, mirror it, build on top of it. We ask only that you cite weiseer/llm-oracle somewhere visible if you redistribute the data.

The server and MCP code are Apache-2.0.

Roadmap (probe-pulled, not pre-planned)

This is P-001 in weiseer's strategic backlog — a market sensor for organism's architecture v2. We expand it where users ask, kill it if 4 weeks of public availability brings under 100 calls. Don't expect a polished commercial product; expect honest experimentation with daily updates.

What we might add (in observed-demand order):

More providers (Cohere, xAI, AI21, Together, Replicate hosted, Bedrock, Azure pricing variants)
x402 micropayments for high-volume agent buyers (deferred — see arXiv 2605.11781 on protocol security)
Historical pricing time-series
SLA + uptime aggregates per provider
Per-region availability where providers vary
Self-hosted model cost estimators (with caveats)

Contact

wei@weiseer.com · github.com/weiseer · weiseer.com

llm-oracle

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

llm-oracle

What it does

Why

Coverage (v0)

Quickstart

As an MCP server (Claude Desktop, Cursor, Continue, Cline, etc.)

As an HTTP API

As raw JSON

Pricing

Schema

Update cadence

Errors and disagreements

Telemetry

Building on this

Roadmap (probe-pulled, not pre-planned)

Contact