Negotiated 2025-06-18. The bar is 2025-06-18 or newer.
Pass
HTTPS
The endpoint URL is https.
Performance
Not measured
Fast (p50)
Median latency 166 ms over 2 samples in 7 days. The bar is 1000 ms. Need at least 5 samples.
Not measured
Consistent (p95)
95th percentile 180 ms over 2 samples in 7 days. The bar is 3000 ms. Need at least 20 samples.
Not measured
Reliable (uptime)
2 of 2 attempts returned a tool list in 30 days (100%). The bar is 99%. Need at least 30 samples.
Pass
Stable tool list
No tool was removed and no required parameter was added in the last 30 days.
Access
Pass
Open access
tools/list succeeded with no credential, and the record declares none.
Not measured
Standard auth
Auth is not required, so the OAuth metadata check does not apply.
Not measured
Free tier cited
No publisher quote has been checked.
Tools
Pass
Tools described
Every tool description is at least 20 characters.
Pass
Valid input schemas
Every inputSchema is a JSON Schema object.
Pass
Parameters documented
43 of 43 parameters have a description (100%). The bar is 80%.
Pass
Safety hints
Every tool sets readOnlyHint or destructiveHint.
Publisher
Pass
Verified namespace
Listed in the Official MCP Registry.
Not measured
Website matches publisher
This namespace is not a reverse domain, so the website comparison does not apply.
Pass
Source repo linked
A repository URL is on file.
Pass
Repo owner matches
The GitHub repository owner matches the namespace login.
Pass
Recently updated
Updated 2026-07-13T01:33:19.198484Z, within 180 days.
Not measured
Open-source licence
The GitHub licence lookup has not returned an OSI result yet.
Start using AI Pricing Hub
Connect to this server
Choose your client, copy the configuration, then enable the server in your client’s MCP settings.
Run this command in your terminal, then restart Claude Code.
Claude Code
claude mcp add --transport http ai-pricing-hub https://aipricinghub.com/mcp/rpc
Capabilities
Tools 11
benchmark_lookup
Find sourced benchmark rows by model, provider, or benchmark ID.
Discovered calculate_cost
Estimate cost from total input tokens, their cached subset, output tokens and request count. Optional batch_mode uses available batch rates with standard-rate fallback.
Discovered compare_models
Compare pricing, context, and sourced benchmarks for model IDs.
Discovered find_best_value
Rank models by available benchmark signal per listed token price.
Discovered find_cheapest
Find cheapest models by combined listed input plus output token price.
Discovered latest_changes
Return recent model launches, removals, and pricing changes.
Discovered pricing_history
Return historical pricing snapshots for a model ID.
Discovered provider_summary
Summarize model count, prices, benchmarks, and changes for a provider.
Discovered recommend_model
Recommend models for a workload using price, context, and benchmark evidence.
Discovered search_models
Search the pricing catalog with provider, workload, context, and price filters.