io.github.OptimNow/ai-pricing-hub
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Publisher-provided title
OptimToken
Publisher-provided description
Compare LLM API and cloud compute pricing, estimate workload costs, pick a model within budget.
Summary by lookupd
Compares LLM API and cloud compute prices, estimates workload costs at chosen volumes, and ranks models against budget and quality…
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http ai-pricing-hub https://optimtoken-mcp.optimnow.io/mcp
Codex, remote (streamable-http)
codex mcp add ai-pricing-hub --url https://optimtoken-mcp.optimnow.io/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"ai-pricing-hub": {
"url": "https://optimtoken-mcp.optimnow.io/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (5 tools)
Publisher-provided text
compare-llm-modelsBrowse and filter the whole LLM catalogue and get back a ranked table: price, quality (ELO), efficiency and capabilities. Use this when the user wants to SEE THestimate-llm-costCost a workload with EXACT numbers the caller supplies: arbitrary token counts per request and any monthly volume, not just the 10k/100k/1m presets the other cocompare-models-side-by-sideCompare 2-4 named LLM models against all 8 use-case profiles at a chosen monthly volume, showing list and optimized cost for each. Use when the user names specirecommend-llm-modelPick a model. Returns a ranked top 3 for one workload under optional constraints, each with a per-constraint satisfied/violated breakdown as the evidence. Use tcompare-compute-pricingCompare cloud compute instance pricing across AWS, Azure, GCP, DigitalOcean, OCI, OVH, and Alibaba. Filter by region, provider, vCPUs, memory, category, process
Details
- Version: 0.4.2
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 985 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/OptimNow/ai-pricing-hub-mcp
- Website: https://optimtoken.optimnow.io/mcp
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