MCP server
OptimToken
io.github.OptimNow/ai-pricing-hub
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Compare LLM API and cloud compute pricing, estimate workload costs, pick a model within budget.
Working at last checkOfficial: optimnow.io's GitHub account (OptimNow)About 3,381 tokens per request once connected5 tools
https://optimtoken-mcp.optimnow.io/mcp
At a glance
- Type
- MCP server
- Publisher
- optimnow.io (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 5
- Token cost
- About 3,381 tokens per request
- Sets up in
- Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
- Last checked
- 26 Oct 2026, 08:29 UTC
Connect it to your agent
Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.
Claude Code
claude mcp add --transport http ai-pricing-hub https://optimtoken-mcp.optimnow.io/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.ai-pricing-hub] url = "https://optimtoken-mcp.optimnow.io/mcp"
Gemini CLI
{"mcpServers":{"ai-pricing-hub":{"httpUrl":"https://optimtoken-mcp.optimnow.io/mcp"}}}
Cursor
{"mcpServers":{"ai-pricing-hub":{"url":"https://optimtoken-mcp.optimnow.io/mcp"}}}
VS Code
{"servers":{"ai-pricing-hub":{"type":"http","url":"https://optimtoken-mcp.optimnow.io/mcp"}}}
Antigravity
agy mcp add ai-pricing-hub https://optimtoken-mcp.optimnow.io/mcp
ChatGPT
Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.
OpenAI API (Responses tools)
{"type":"mcp","server_label":"ai-pricing-hub","server_url":"https://optimtoken-mcp.optimnow.io/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"ai-pricing-hub","server_url":"https://optimtoken-mcp.optimnow.io/mcp"}
Tools
compare-compute-pricing~707 tokens
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 eacompare-llm-models~906 tokens
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 uncompare-models-side-by-side~339 tokens
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 oestimate-llm-cost~704 tokens
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. Trecommend-llm-model~725 tokens
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
Browse
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