Context7
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Description from the maker (original English)
Search lab-filtration products by specification, with prices and lead times.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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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 mcpPaste 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.
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.
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Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
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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).
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 2 days ago.
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In the same category: Context7, Codebase Memory, Exa
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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
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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.
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.
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.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.)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).
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.
npx -y @reneturcios/porefind mcp
MCP client config:
{
"mcpServers": { "porefind": { "command": "npx", "args": ["-y", "@reneturcios/porefind", "mcp"] } } }
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.
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.
MIT — see LICENSE.