ZBS Index What actually exists in applied AI, with the source next to it

mcp server

PromptSpend

LLM pricing where every rate carries its source and the date it was last confirmed.

Description as published by the maintainer. Source

  • version 0.1.5
  • active

active — Most recent push to the repository was 2026-08-06.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 0 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-08-06 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 0 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Latest published version 0.1.5 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-08-06 When the registry record was last updated by its maintainer. point in time Model Context Protocol
License MIT Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. as of fetch GitHub
First listed in the MCP Registry 2026-08-06 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub

Where to get it

Related, by what their authors tagged them

  • ComparEdge Pricing — last commit 2026-07-15, shares llm-pricing, pricing-api
    Verified SaaS, AI, and LLM pricing for 490+ tools: plans, hidden costs, TCO, and alternatives.
  • Promptibus MCP — last commit 2026-05-11, shares cost-optimization, token-counter
    Model intelligence for AI agents — syntax, params, pricing for 67+ generative AI models.
  • ATOM Pricing Intelligence — last commit 2026-06-23, shares llm-pricing
    The Global Price Benchmark for AI Inference. 1,600+ SKUs, 40+ vendors, 14 price indexes.
  • Distil — last commit 2026-08-08, shares cost-optimization, openai
    Reversibly compress tool outputs to recoverable handles; expand to exact original bytes on demand.
  • ai.nocturnus/logic-server — last commit 2026-04-17, shares cost-optimization
    Agent reasoning, memory, and token-optimized context for AI applications.
  • io.github.alexpota/cloudscope — last commit 2026-08-04, shares cost-optimization
    Azure + GCP cost management: spending, forecasts, anomalies, budgets, idle resources, and tags.
  • Frugal — last commit 2026-08-05, shares cost-optimization
    The open routing layer for AI tools: tool calls routed per policy, decision on every result.
  • Gonka Second Opinion (multi-model) — last commit 2026-08-02, shares cost-optimization
    A second opinion for AI agents: one prompt across several live Gonka models + roles, one call.
  • io.github.capyBearista/gemini-researcher — archived, last commit 2026-06-01, shares cost-optimization
    Stateless MCP server that proxies research queries to Gemini CLI, reducing agent context/model usage
  • nable — last commit 2026-08-06, shares cost-optimization
    Local-first FinOps copilot: ask AWS, Azure, GCP, Kubernetes and SaaS cost questions in your editor.

These share tags the maintainers applied themselves, such as llm-pricing, pricing-api, cost-optimization, token-counter. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

How the author describes it

Topics the maintainer set on GitHub: ai-costs, anthropic, claude, cloudflare-workers, cost-estimator, cost-optimization, developer-tools, gemini, llm, llm-pricing, mcp, model-context-protocol, open-data, openai, pricing-api, token-counter, typescript, vscode-extension.

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Sources

  1. AndrewAvery7/promptspend on GitHub — GitHub, observed , trust tier 3.
  2. Official MCP Registry — Model Context Protocol, observed , trust tier 1.