MCP.Market

PromptSpend MCP server

online · 100% uptime
by AndrewAvery7·io.github.AndrewAvery7/promptspend·v0.1.11·1 stars

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

A92/100grade A
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Safety scan
A92/100

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Adoption
Growing

1 stars35 downloads/wk

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PromptSpend tools

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How PromptSpend compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
92/100
higher than 90% of 4,460 AI and agents servers
Uptime
100%
of our recent checks; the typical remote AI and agents server answers 100%
Response time
86 ms
faster than 90% of 2,331 AI and agents servers
GitHub stars
1
more than 50% of 2,711 AI and agents servers
Downloads a week
35
more than 25% of 1,538 AI and agents servers with a package

Release history: 3 versions in the registry since 2026-08-06, latest 2026-10-29, typically one every 83 days.

Install PromptSpend in Claude Code, Cursor or VS Code

claude mcp add --transport http promptspend https://promptspend.dev/mcp
Add to Cursor

What the publisher says

From the PromptSpend repository's README, as published. We do not edit it. Read it on GitHub

Know the tab before you build. Estimate, compare and understand what an AI feature will cost — from a catalog that re-checks itself every morning, so the numbers are never a year out of date.

→ Open PromptSpend  ·  free  ·  open source  ·  no accounts, no tracking  ·  Writing: What LLM Cost Calculators Get Wrong  ·  August 2026 Price Movement Report

<!-- PROMO-VIDEO. A bare user-attachments URL on its own line: GitHub turns that into an inline player. Markdown image or link syntax does NOT work, and a release-asset URL downloads instead of playing, so do not "tidy" this into a relative path or a link.

The URL only exists after the file is dragged into a comment box in the web UI AND that comment is submitted; an abandoned draft uploads the file but does not retain it, and the URL then 404s. Verify any replacement before committing - a live attachment answers an unsigned request with 302 or 403, never 404. See docs/PROMO.md. -->

https://github.com/user-attachments/assets/8ddf3e53-2a97-4d86-ac93-d09507c387de

2 minutes 8 &mdash; press play, and hit &#128266; to unmute (GitHub starts videos silent). &nbsp;·&nbsp; Download the MP4

Why this exists

Every LLM cost calculator on the web has the same failure mode: it is a snapshot. Someone builds it, hard-codes a dozen model prices, and within a few months the entire premise is wrong — the models it compares have been superseded and the prices it quotes no longer exist.

PromptSpend is built the other way round. The pricing pipeline is the product; the calculator is what sits on top of it. Every morning a GitHub Action re-fetches the catalog from independent sources, merges them under an explicit trust order, runs sanity checks, and either commits the result or opens a pull request for a human. Capture patterns are family-level, so a brand-new model version is picked up automatically without anyone touching code.

What it does

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

PromptSpend: common questions

Is PromptSpend MCP server safe?
Yes, by our scan: it is graded A (92/100). Read the PromptSpend safety report
How do I install PromptSpend?
It runs remotely at promptspend.dev. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does PromptSpend need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is PromptSpend maintained?
The last commit was 42 days ago (2026-09-23). The latest release is v0.1.11.
Is PromptSpend up?
100% of our last 16 checks got an answer. We check remote servers about four times a day.
How does PromptSpend compare with other AI and agents MCP servers?
safety score 92/100 (higher than 90% of 4,460 AI and agents servers); uptime 100% (of our recent checks; the typical remote AI and agents server answers 100%); response time 86 ms (faster than 90% of 2,331 AI and agents servers). Full comparison.