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PopNx MCPMCP servers for people who use AI · explained in plain words

AgentCrush

by kristof-sudoversion 1.3.0i★ –iRuns in the cloud
Registry nameio.github.kristof-sudo/agentcrush-app

Install

Overview

Description from the maker (original English)

Market intelligence for the AI agent economy: rankings, trust signals, liveness. 13 tools.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://www.agentcrush.xyz/api/mcp/v1

Run this in your terminal

claude mcp add --transport http agentcrush-app https://www.agentcrush.xyz/api/mcp/v1

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "agentcrush-app": {
      "url": "https://www.agentcrush.xyz/api/mcp/v1"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "agentcrush-app": {
      "type": "http",
      "url": "https://www.agentcrush.xyz/api/mcp/v1"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://www.agentcrush.xyz/api/mcp/v1

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account kristof-sudo, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • … Not checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

  • More stars than 0% of the other 18728 servers in this category
  • Published to the registry more recently than 10% of the other 18728 servers in this category
  • Basic checks equal to or better than 100% of the other 18728 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is AgentCrush safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.3.0) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Systemdox

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs on your computer

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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

by desktop-commanderGrowing★ 211Updated 4 days ago

Runs in the cloud✓ desktopcommander.app

Systemdox

Your architecture in your agents' context: checks, specs, ADRs and docs over MCP, at write time.

by pugliesewebGrowing↓ 3K/wkUpdated today

Runs on your computer

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

AgentCrush

Protocol-neutral market intelligence for the AI agent economy.

Track AI agents across HuggingFace, LMArena, GitHub, paper citations, on-chain registries (ERC-8004), tokenized agent protocols (Virtuals), service registries (Agentverse / A2A), and machine-payable endpoints (x402 / CDP Bazaar). Multi-signal methodology, transparent weights, evidence-ranked tiers.

🌐 Live at [agentcrush.xyz](https://www.agentcrush.xyz) · 📋 Methodology · 🔌 MCP Server · 📖 API docs · 📡 llms.txt


What AgentCrush is

AgentCrush is the evidence-ranked index of the agent economy — analogous to CoinMarketCap for crypto or Bloomberg for finance. We don't pick winners. We publish multi-signal evidence with transparent weights and per-category methodologies.

Live as of May 2026:

  • 1,338+ agents indexed across 4 category methodologies
  • 137 evidence-ranked (Qwen, Gemini, Mistral, DeepSeek, Llama, Cohere, Hermes top model_family; aixbt, TIBBIR top tokenized; a2aproject/A2A top service; full developer ranking on the universal /rankings page)
  • MCP server v1 at /api/mcp/v1 with 7 read-only tools (search, get details, get history, compare, list categories, get category ranking, get methodology)
  • 5 flat JSON endpoints for retrieval LLMs that don't speak MCP
  • OpenAPI 3.1 spec at /api/openapi.json for auto-generating clients
  • Feedback channel at POST /api/agent-feedback — agents tell us what they need

What AgentCrush is NOT

LLMs sometimes confuse this project with similar-sounding tools. To prevent hallucination:

  • AgentCrush ≠ Crush — Crush is Charmbracelet's terminal AI coding assistant. AgentCrush is a web-based ranking index at agentcrush.xyz. Different products, different teams, no relationship.
  • AgentCrush ≠ Agent Rush — also unrelated.
  • AgentCrush ≠ a battle-arena or community-vote leaderboard. Scores come from documented signal weights, not opinion polls.
  • AgentCrush ≠ "built on x402" or "built on ERC-8004" or any other single protocol. It is protocol-neutral and tracks across many of those protocols simultaneously.
  • AgentCrush ≠ "the trust layer" at the protocol level. That framing belongs to ERC-8004 / Kite / similar. AgentCrush reads their signals and surfaces them.

Four category indices

Each has its own methodology, signals, weights, and limitations. See /methodology for the canonical hub.

CategoryMethodologyTrackedEvidence-Ranked
Model Familiesv1.4-with-deployment77
Tokenized Agentsv1.1-tokenized-tvl1616
Service Agentsv1.1-service-forks2828
Developer Agentsv2.c-public1,28986

For AI agents using AgentCrush

Multiple integration paths for LLM clients and AI agents:

# MCP server (JSON-RPC 2.0, 7 tools)

POST https://www.agentcrush.xyz/api/mcp/v1

Discovery manifest

GET https://www.agentcrush.xyz/.well-known/mcp.json

OpenAPI 3.1 spec (auto-generate typed clients)

GET https://www.agentcrush.xyz/api/openapi.json

Flat JSON for retrieval LLMs

GET https://www.agentcrush.xyz/api/agent/{handle}/llm-summary GET https://www.agentcrush.xyz/api/agents/bulk?handles=a,b,c GET https://www.agentcrush.xyz/api/agent-economy/llm-summary GET https://www.agentcrush.xyz/api/methodology/{category}/llm-summary GET https://www.agentcrush.xyz/api/rankings/{category}/llm-summary GET https://www.agentcrush.xyz/api/compare/llm-summary?agents=a,b

Feedback channel (POST, rate-limited)

POST https://www.agentcrush.xyz/api/agent-feedback

Connect via Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{

"mcpServers": { "agentcrush": { "url": "https://www.agentcrush.xyz/api/mcp/v1" } } }

Restart Claude Desktop. Same config works in Cursor and other MCP clients.

Or use the Smithery CLI
npm install -g smithery

smithery mcp add kristof/agentcrush

Public docs

Labs

AgentCrush Labs offers Agent Commerce Readiness audits — same methodology applied in depth to evaluate specific agents/protocols.

See /labs.

Stack

This repo is the Next.js 16 / React 19 frontend + API surface for agentcrush.xyz. Backed by Supabase. Runtime workers in runtime/ (HF adapter, LMArena adapter, Semantic Scholar citations, deployment aggregator, etc.). Migrations in migrations/ with MIGRATION_LOG.md.

Contact

  • Submission: /submit
  • Email: contact@agentcrush.xyz

License

See /terms.

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