MCP.Market

Weckr MCP server

by useweckr.com·com.useweckr/weckr·v0.1.2·8 stars
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Ask which of your customers cost more in LLM calls than they pay, per user and per feature.

B82/100grade B
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Safety scan
B82/100

full report

Adoption
Growing

8 stars52 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Weckr tools (6)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • get_feature_breakdown

    Get per-feature cost breakdown. Shows which features (the `feature` label your code passes to wk.chat()) are the most expensive across all users. Use this for "which feature is costing me the most?" or "where should I optimize?".

  • get_model_recommendations

    Get recommendations for swapping to cheaper models. We surface features that are using expensive models for short outputs (<150 avg output tokens) where a same-provider cheaper model exists and the projected monthly saving is >=$1. Use this for "where can I cut AI cost without breaking anything?".

  • get_overview

    Get a high-level overview of AI costs, revenue, and margin for the current calendar month. Returns total spend, total revenue, net margin, request count, count of unprofitable users, combined loss in USD, and the most expensive feature. Best first call for any "how am I doing" question.

  • get_pricing_recommendations

    Get per-plan pricing recommendations based on actual AI costs this month. Tells you which plans are unprofitable and what to charge to keep margins healthy. Needs at least 5 users and 30 requests this month to produce a recommendation \u2014 otherwise returns a note.

  • get_spending_cap_url

    Returns the dashboard URL where the user can edit a monthly AI spending cap for a plan. This tool does NOT change any settings \u2014 it only produces a link. Caps are stored on the project and edited from a browser session, so the founder always reviews them visually. All args are optional; if provided they're echoed in the response so the user can confirm.

  • get_users

    Get per-user cost/revenue/margin breakdown. Sorted by margin (worst first). Use this for "which users are losing me money?" and "which users cost the most?" questions. Anonymous calls (rows with null userId) appear grouped under "(anonymous)".

Public scan report

scanner v0.1.10 · 2026-11-02 · same rubric, same numbers if you re-run it

no findings
  • Code scan2 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 14 days ago15/15
  • Maintainer identitynamespace and repository owner differ; GitHub account older than a year; website matches verified namespace7/10
Overall 82/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Weckr compares

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

Safety score
82/100
higher than 65% of 4,460 AI and agents servers
Tools
6
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
8
more than 82% of 2,711 AI and agents servers
Downloads a week
52
more than 43% of 1,538 AI and agents servers with a package

What its tools let an agent do: 6 read

Install Weckr in Claude Code, Cursor or VS Code

Runs npx -y @weckr/mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add weckr -- npx -y @weckr/mcp
Add to Cursor

What the publisher says

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

Weckr SDKs

AI cost and margin intelligence for SaaS founders. See exactly which users cost you more than they pay, per LLM call, zero added latency.

Drop the SDK into your app, get a dashboard that shows cost per user / feature / model and recommends cheaper swaps. Set per-plan spending caps the SDK enforces before the LLM call.

Pick your language

Each subfolder has full setup docs, examples, and supported-model lists.

Claude Skills

This repo is also an installable Claude Code plugin that bundles four skills, so your AI assistant knows real model prices and the exact Weckr syntax instead of inventing code:

/plugin marketplace add Ghiles3232/weckr-sdks
/plugin install weckr@weckr

The pricing skills read the live feed at useweckr.com/pricing.json first (generated from the same table Weckr bills with), and a weekly pricing watcher opens a reviewed PR whenever a provider changes rates, so the numbers track reality instead of drifting. Full explainer at useweckr.com/skills.

Try it without signing up

Live demo dashboard →

Click around with seeded data for a fictional SaaS. No signup required.

Starter templates

Clone a full AI SaaS with Weckr already wired in and deploy in minutes. Both are MIT licensed.

  • weckr-nextjs-starter: Next.js 14, Supabase auth, Stripe billing, an OpenAI endpoint, and Weckr tracking cost and margin per user.
  • weckr-fastapi-starter: FastAPI, a Claude endpoint, SQLite, and Weckr tracking cost and margin per user.

Framework guides

Step by step integrations for the stacks people actually ship on, each with the exact code and where the wrap goes:

  • Next.js: route handler pattern, flush() for serverless, streaming notes.
  • FastAPI: endpoint pattern with the authenticated user, zero added dependencies.
  • LangChain: wrap the client at the boundary, not the callbacks.
  • CrewAI: price every agent turn, catch the stuck crew.

How it works

Shortened. The full README is on GitHub.

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

Weckr: common questions

Is Weckr MCP server safe?
Mostly: it is graded B (82/100). Read the Weckr safety report
How do I install Weckr?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Weckr need an API key?
Yes. The registry entry asks for WECKR_API_KEY.
Is Weckr maintained?
The last commit was 16 days ago (2026-10-19). The latest release is v0.1.2.
What can I use instead of Weckr?
Servers from other publishers that do the same job: Ausca MCP server, llmtrim MCP server and AKShare MCP server.
How does Weckr compare with other AI and agents MCP servers?
safety score 82/100 (higher than 65% of 4,460 AI and agents servers); tools 6 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Weckr

Same job from other publishers: the closest match first, then the best rated.

  • Ausca
    Pay-per-call APIs and MCP services for agents, no accounts or keys, with verifiable receipts.
    A
  • llmtrim
    MCP server and proxy that compresses LLM prompts, tool output, and replies to cut token cost.
    A
  • AKShare
    Let a model explore AKShare's 1000+ China market data functions on its own — search, inspect, call
    A