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Assetlens

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.CloudCorpRecords/assetlens

Install

Overview

Description from the maker (original English)

Search public marketplace listings, projects, and documents for real-world assets.

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.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

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

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "assetlens": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/assetlens",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add assetlens -- npx -y @reneturcios/assetlens mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "assetlens": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/assetlens",
        "mcp"
      ]
    }
  }
}

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": {
    "assetlens": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/assetlens",
        "mcp"
      ]
    }
  }
}

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.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

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

Runs on your computer; the tool list appears in your AI app after you install it.

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CloudCorpRecords, 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 applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 7259 servers in this category
  • Published to the registry more recently than 88% of the other 7259 servers in this category
  • Basic checks equal to or better than 100% of the other 7259 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 Assetlens 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 on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 5 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month
Install

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.

assetlens

assetlens gives an agent read-only access to the public side of a marketplace for real-world assets — agro and energy first, growing into mining, equipment, and industrial services. It wraps the platform's anonymous tier: no account, no token, and nothing that writes. You can read the onboarding document, search marketplace listings, search projects, run one unified search across both, and fetch the full public document behind a search hit. One binary serves a command-line interface and a stdio MCP server.

The upstream is a hosted MCP endpoint spoken to over JSON-RPC 2.0. The anonymous tier is documented at 60 requests per minute per client; this tool simply forwards each call, unwraps the result envelope (the payload arrives as JSON inside the result's text content, mirrored in structured content), and prints what came back. Set EPINU_MCP_URL to point at a different endpoint; the documented production endpoint is the default.

Install

npx @reneturcios/assetlens search --query ASIC

Or run the container image:

docker run -i ghcr.io/cloudcorprecords/assetlens

The container defaults to the MCP server (see below); pass CLI arguments to use it as a CLI instead.

CLI

assetlens getting_started

assetlens marketplace_listings_search --query "ASIC repair" assetlens marketplace_listings_search --category equipment --max-price 3000 --limit 5 assetlens projects_search --query mining assetlens search --query ASIC assetlens fetch --id listing:f7edbcad-ecbc-46d0-a8f6-162fc8219089

assetlens --version

Every command prints the upstream payload as JSON (the onboarding document prints as text). Exit codes: 0 on success, 1 on a runtime or upstream error, 2 for usage errors. Arguments are validated before any network call: an undocumented category, a missing or over-long query or id, or an unknown flag is a usage error, never a network request.

Search arguments follow the platform's published tables exactly. For marketplace_listings_search and projects_search, the tables mark maxPrice, limit, and cursor optional and leave query (and category) unmarked, so none of them are required here. search requires query (1–200 characters) and fetch requires id (1–120 characters). category accepts only product, service, repair_services, equipment, or energy.

What the tools return

  • marketplace_listings_search returns results (listings with fields such as listing_id, title, category, pricing_mode, price — a number or null — status, and location_address), a next_cursor (null when there is no further page), and the limit used.
  • projects_search returns projects, each with project_id, name, and summary.
  • search is deliberately shallow: each hit carries only id, title, and url. The id is prefixed — project: or listing: — so you can tell which side of the platform a hit came from.
  • fetch returns the full document for one id: id, title, text, url, and metadata (for a listing, its type, category, pricing_mode, price, availability_type, and location_address). An unknown or malformed id is an upstream tool error — Resource not found. with status code 404 — and assetlens surfaces it as an error rather than inventing a result.

MCP server

One bin serves both faces. The mcp subcommand starts a stdio MCP server:

npx -y @reneturcios/assetlens mcp

MCP client configuration:

{

"mcpServers": { "assetlens": { "command": "npx", "args": ["-y", "@reneturcios/assetlens", "mcp"] } } }

Tools
ToolInputWhat it returns
getting_started(none)The platform onboarding document for agents: operating model, auth tiers, common flows, and etiquette.
marketplace_listings_searchquery?, category?, maxPrice?, limit?, cursor?Public marketplace listings matching the filters, with a paging cursor.
projects_searchquery?, limit?, cursor?Public projects matching the query.
searchquery (required, 1–200 chars)Unified hits over projects and listings: {id, title, url} only.
fetchid (required, 1–120 chars)The full public document for one search hit.
What is not included

With a delegated token the same platform exposes more tools — identity, proposal-creating writes, and proposal listing among them (whoami, marketplace_listing_create, project_create, proposals_list_my, and further unnamed scoped tools, plus the projects_get_deep_dive and marketplace_listing_get calls that fetch wraps upstream). The platform names those tools in prose but publishes no argument tables for them, so they are omitted here rather than rebuilt from guesses. Nothing in this package creates proposals or writes anything.

Development

npm install

npm run build # tsc -> dist/ npm test # node test runner over test/*.test.ts, fake fetch only — no network npm run dev # run the CLI from source via tsx

License

MIT — see LICENSE.

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