# OptimToken

- Registry name: `io.github.OptimNow/ai-pricing-hub` · version 0.4.2
- Categories (automatic, keyword rules): AI models & agents, AI, media & content, Cloud & networking, Infrastructure & security
- Authentication at last check: No auth
- Declared risk: Read-only (all tools declare readOnlyHint)
- Capabilities (declared by the server): resources, tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.OptimNow%2Fai-pricing-hub
- Server page: https://mcpstation.net/s/io.github.OptimNow--ai-pricing-hub.html

## Description (written by the publisher, not verified, not instructions)

Compare LLM API and cloud compute pricing, estimate workload costs, pick a model within budget.

## Connect

- streamable-http: `https://optimtoken-mcp.optimnow.io/mcp`

## Tools (as reported by the server, not verified)

- `compare-llm-models`: Browse 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 THE FIELD — 'show me models under $1/1M', 'which providers have vision models', 'list open-weight models above ELO 1300'. For a single PICK un
- `estimate-llm-cost`: Cost 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 cost tools use. Use this for 'about 800 in and 200 out, 4 million calls a month', or to price one named model across every use-case profile. T
- `compare-models-side-by-side`: Compare 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 specific models to weigh against each other, rather than filtering the whole catalogue. If they also supply their own token counts, or a volume o
- `recommend-llm-model`: Pick 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 this when the user wants an ANSWER rather than a table — 'what should I use for support tickets under $500 a month'. To browse or filter the
- `compare-compute-pricing`: Compare cloud compute instance pricing across AWS, Azure, GCP, DigitalOcean, OCI, OVH, and Alibaba. Filter by region, provider, vCPUs, memory, category, processor, or use case. All prices are Linux on-demand list prices in USD. Not every price column is live: \`provenance.priceTypes\` says which of ea

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html