UsageWall

by agenciabakucl-coder

Not rated
GitHub

About

Live LLM pricing as an MCP server — six read-only tools to list, compare, estimate cost, and find the cheapest model across OpenAI, Anthropic, Google, DeepSeek, Mistral, xAI and Meta.

Details

Author
agenciabakucl-coder
Categories
Productivity, AI

Setup

Install UsageWall in your MCP client (Claude Desktop, Cursor, Windsurf, and others).

Repository: https://github.com/agenciabakucl-coder/usagewall

Follow the installation instructions in the repository README, then restart your MCP client.

Live LLM pricing as an MCP server.Ask Claude (or any MCP client) "how much does this prompt cost?" and get real numbers from a hand-checked pricing table for every major LLM. Free, read-only, no auth.

- MCP endpoint:https://usagewall.vercel.app/api/mcp
- Install docs:usagewall.vercel.app/mcp
- Pricing JSON API:
usagewall.vercel.app/api/pricing
- Live status:
usagewall.vercel.app/status
- What's coming (waitlist):a hosted hard-cap proxy so a runaway loop can't drain your AI budget overnight.

curl -s https://usagewall.vercel.app/api/mcp \ -H "Content-Type: application/json" \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'

Settings → Connectors → Add custom connector → pastehttps://usagewall.vercel.app/api/mcp

Install in Claude Desktop / Cursor / Windsurf / Zed / Cline: see/mcp.

Six read-only tools, two raw-JSON resources, JSON-RPC 2.0 over Streamable HTTP. Zero dependencies; ~280 LOC; auditable in one sitting.

Toolslist_models,get_model,compare_models,estimate_cost,cheapest_for,list_providers.

Resourcesusagewall://pricing/full,usagewall://pricing/<provider>.

Sourceapi/mcp.js.Teststests/mcp.test.js(18 cases).Smithery descriptorsmithery.yaml.

Production-grade waitlist landing forusagewall.dev, plus the local proxy prototype. Static HTML + 5 Vercel serverless functions. No build step. No framework.

- Create a project atsupabase.com(free tier).
- SQL editor → pastesupabase/schema.sql→ run.
- Settings → API → copyURLandservice_rolekey.

Both must be ≥32 chars. The handler refuses to sign tokens with shorter secrets.

- Sign up atresend.com.
- Addusagewall.devas a domain (DNS records via your registrar).
- API keys → create one. Copy.

Buy atPorkbun(~$15/yr for.dev). Point at Vercel:

- A record@76.76.21.21
- CNAMEwwwcname.vercel-dns.com

To test without Vercel CLI, use the smoke server:

npm run smoke # Hits the handler with stubbed Supabase, prints pass/fail per case.
npm test # unit + E2E (48 + 13 = 61 cases, no network) npm run validate:html # HTML structure + CSP + a11y checks npm run smoke # live HTTP smoke vs handler with stubbed Supabase npm run ci # all of the above

CI runs on every push that touchesusagewall/(see.github/workflows/test.yml).

Readpublic/privacy.htmlfor the user-facing policy.

GO if≥100 emailsand≥1 replyasking "when can I pay?" NO-GO if<30 emailsafter the launch thread.

This isnot*the Baku brand — it's UsageWall, a productbyBaku. Inherits the design DNA (dark warm, editorial serifs, no flashy gradients, generous spacing) but lives independently with its own identity. Footer credits Baku.

- bg#0A0A0B(warm near-black)
- text#F5F4F0(cream off-white)
- accent#E8DFC7(warm cream — highlights only)
- code bg#0E0E10

- Display: Fraunces 400/500, often italic
- Body: Switzer 400/500
- Mono: JetBrains Mono 400/500/600

The.gitignorecovers it, but be paranoid about:

- .env,.env.local,.env..local
- .vercel/(project link)
- node_modules/

The CI grep checks for accidental commits ofsk_live_…,re_…,sbp_….

Persistent memory for any AI assistant. Zero token cost until recall. Stores memories in local SQLite, ranks by 6-factor scoring, returns results 79% smaller than JSON. Works with Claude, ChatGPT, Grok, Cursor, Windsurf, and any MCP client.

An MCP server which brings Jotform to your AI client or LLM

Transform your scattered documentation into AI-ready knowledge that works seamlessly with Claude, Cursor, VS Code, and other AI tools.

Plug your AI agent into OpenCharts—build spreadsheets, boards, music, and automations from Claude Code, Codex, or Cursor without leaving your terminal.

An AI-powered bridge connecting assistants like Claude and ChatGPT to RADAAR for managing posts, inboxes, analytics, and social listening across 20+ channels using natural language.

After Effects MCP is a full-featured automation bridge that connects AI clients (like VS Code, Claude Desktop, and Claude Code) to Adobe After Effects through MCP, enabling scripted control of compositions, layers, effects, keyframes/graph easing, presets, markers, audio levels, waveform analysis, and effect discovery via a live bridge panel.

AI-native workflow orchestration with long-term memory. 100+ integrations through single credit system. 32 MCP tools for building and running intelligent business workflows — lead enrichment, content publishing, company research, media production. Knowledge Graph that learns across executions. Works with Claude, Codex, Cursor, Windsurf.

Project management your AI can actually run — connect Claude, ChatGPT, Cursor & Codex to one board over MCP.

The AhaSlides MCP server lets AI assistants like Claude work inside AhaSlides for you. Just describe what you want in plain language — no app-switching, no coding.

No reviews yet — be the first

Sign in to leave a review

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.