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Porefind

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

Install

Overview

Description from the maker (original English)

Search lab-filtration products by specification, with prices and lead times.

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

Run this in your terminal

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

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "porefind": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/porefind",
        "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": {
    "porefind": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/porefind",
        "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 6, 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 7241 servers in this category
  • Published to the registry more recently than 94% of the other 7241 servers in this category
  • Basic checks equal to or better than 100% of the other 7241 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 Porefind 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 2 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 3 days ago
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 44 days ago
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.

porefind

porefind is a thin local bridge to Filtrous' hosted catalog of laboratory filtration products: syringe filters, membranes, filter paper and the like, each with its pore size, material, SKU, price and stock position. The bridge stores nothing. It presents the upstream server's tool list locally, exactly as captured, and passes each tool call through to the remote endpoint, handing back whatever comes back untouched.

Catalog work here is read-only. You can search the catalog by free text or by specification terms, open one product for its full detail — variants, options, images and spec metafields — and ask for the current price and lead time on a single SKU. Pricing for the last of these sits behind the upstream's API key, as its own description says.

Labelled subset: 3 of 4 tools

The live capture of the upstream server listed four tools. This build serves three. The fourth, request_quote, took a list of items plus a contact object and submitted them to the vendor as a quote request — personal contact details routed into a sales pipeline. That is out of scope for this program under its safety rule, so the tool is omitted entirely: it is not registered, it does not appear in tools/list, calls to it are rejected like any unknown name, and the test suite asserts its absence at both the registry and the served MCP layer.

Tools

  • search_products — search the catalog by free text and/or spec terms (for example 0.22 micron PES syringe filter); field filters such as product_type:... or tag:... are also honoured. Returns matching products with title, handle, SKU, product type, tags, price and availability. Required: query. Optional: limit (1-50, default 10).
  • get_product_details — full detail for one product by its handle (the slug a search returns): variants, SKUs, options, prices, images and spec metafields. Required: handle.
  • get_price_and_lead_time — current price, availability and, when permitted, stock for one exact SKU. Required: sku. This is the keyed tool: it needs a valid API key upstream.

Configuration

  • FILTROUS_MCP_URL (optional) — override the upstream endpoint. Defaults to https://filtrous-mcp-catalog.filtrous.workers.dev/mcp. (The override hook is this rebuild's own labelled reconstruction.)
  • FILTROUS_API_KEY (optional) — when set, every upstream request carries an Authorization: Bearer header; when it is not set, no auth header is sent. (This forwarding is also a labelled reconstruction; the original surface was captured keyless.)
Forwarding mechanics

The first tool call opens a streamable HTTP session with the upstream: a JSON-RPC initialize request (protocolVersion 2025-03-26, clientInfo name porefind), then a notifications/initialized notification, then the tools/call request carrying the caller's arguments unchanged. If the upstream's initialize reply carries an Mcp-Session-Id header, that value rides on every later request of the session, which is reused for the life of the process. Replies may arrive as plain JSON or as server-sent events; both are read.

Successful upstream results pass through verbatim, including any isError flag the upstream sets. Failures — a JSON-RPC error, a non-2xx status, an unreadable response, or a request that cannot be completed — come back as an isError result whose text starts with porefind error: (this rendering is this rebuild's own labelled reconstruction).

CLI

Each kept tool is also a subcommand taking one JSON argument string:

npx @reneturcios/porefind search_products '{"query":"0.22 micron PES syringe filter","limit":5}'

npx @reneturcios/porefind get_product_details '{"handle":"pes-syringe-filter-022"}' npx @reneturcios/porefind get_price_and_lead_time '{"sku":"SF-PES-022-25"}' npx @reneturcios/porefind --version

Exit codes: 0 on success, 1 on an isError result, 2 on a usage error.

MCP server

npx -y @reneturcios/porefind mcp

MCP client config:

{

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

Docker

docker run -i ghcr.io/cloudcorprecords/porefind

docker run --rm ghcr.io/cloudcorprecords/porefind --version

The container's default command is mcp, so the first form is a stdio MCP server; any other arguments reach the CLI normally.

Development

npm install

npm run build npm test npm run dev

The test suite runs entirely against a stubbed JSON-RPC upstream — no live network calls.

License

MIT — see LICENSE.

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