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VectorCache Semantic Vector Cache

by pgalyen1987version 1.0.2i★ –iRuns on your computer
Registry nameio.github.pgalyen1987/vectorcache

Install

Overview

Description from the maker (original English)

x402-gated semantic vector cache for agent swarms: Redis-backed similarity lookup. Paid in USDC.

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": {
    "vectorcache": {
      "command": "npx",
      "args": [
        "-y",
        "@nodeproxy/vectorcache"
      ]
    }
  }
}

Run this in your terminal

claude mcp add vectorcache -- npx -y @nodeproxy/vectorcache

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "vectorcache": {
      "command": "npx",
      "args": [
        "-y",
        "@nodeproxy/vectorcache"
      ]
    }
  }
}

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": {
    "vectorcache": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@nodeproxy/vectorcache"
      ]
    }
  }
}

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 pgalyen1987, 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 7244 servers in this category
  • Published to the registry more recently than 19% of the other 7244 servers in this category
  • Basic checks equal to or better than 100% of the other 7244 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 VectorCache Semantic Vector Cache 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 (1.0.2) reached the registry 4 months 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 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 today
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.

NodeProxy

Self-discoverable MCP utility for autonomous agents — no ads, no landing page, no human in the loop.

NodeProxy exposes two paid tools:

ToolEndpointPriceUse case
surface_markdown_parserPOST /mcp/execute$0.002 USDCNormal public pages
stealth_markdown_parserPOST /stealth-scrape$0.05 USDCCloudflare/Akamai-protected sites

Both fetch a public URL, strip scripts/ads/nav noise, and return compressed Markdown optimized for LLM context windows. Standard tier also accepts Stripe MPP card payments ($0.50 minimum) alongside x402 USDC.

Agents find this service through MCP registries, x402 Bazaar discovery, and machine-readable manifests — not marketing.

Why agents need this

Heavy React/Vue sites burn tokens when agents ingest raw HTML. NodeProxy returns clean Markdown so autonomous retrieval loops stay cheap and accurate. When basic fetch hits bot walls, the stealth tier escalates with proxy rotation, hardened Playwright, and optional CAPTCHA solving.

Architecture

Autonomous Agent

│ search MCP registry / Bazaar (vector or keyword) ▼ GET /mcp/tools or MCP list_tools │ reads JSON schema ("Machine UI") ▼ POST /mcp/execute or POST /stealth-scrape │ no payment → 402 + PAYMENT-REQUIRED (+ Bazaar extension) │ x402 PAYMENT-SIGNATURE or MPP Authorization: Payment … │ facilitator verify/settle → parse URL ▼ Markdown payload → agent continues task

Quick start

cd NodeProxy

cp .env.example .env

Set WALLET_ADDRESS to your Base wallet

npm install npm run dev

Endpoints (replace host with your deploy URL):

EndpointPurpose
GET /healthService status, pricing, stealth/MPP config
GET /mcp/toolsTool catalog for registry crawlers
POST /mcp/executeStandard parse + x402/MPP gate
POST /stealth-scrapeStealth parse + x402 gate
ALL /mcpStreamable HTTP MCP transport
GET /.well-known/mcp.jsonWell-known MCP discovery
GET /.well-known/x402.jsonx402 + Bazaar discovery manifest
GET /.well-known/mpp.jsonMPP Stripe manifest (when configured)
GET /discovery/agent.jsonAgent discovery card
GET /registry/server.jsonLive registry manifest (dynamic)

Environment

VariableDefaultDescription
WALLET_ADDRESS—USDC recipient (your revenue)
PRICE_USDC0.002Standard tier price per parse
STEALTH_PRICE_USDC0.05Stealth tier price per parse
X402_NETWORKeip155:84532Primary network; use eip155:8453 on mainnet
X402_NETWORKSCDP bundleComma-separated CAIP-2 ids (Base, Polygon, Arbitrum, optional Ethereum L1)
FACILITATOR_URLhttps://x402.org/facilitatorx402 facilitator
CDP_API_KEY_ID / CDP_API_KEY_SECRET—Coinbase CDP facilitator (mainnet)
MPP_SECRET_KEY / STRIPE_SECRET_KEY—Stripe MPP on /mcp/execute
STEALTH_PROXY_URLS—Comma-separated proxy URLs for stealth tier
CAPTCHA_SOLVER_KEY—2captcha API key (optional)
PUBLIC_URLlocalhostUsed in discovery manifests

Machine discovery (zero advertising)

  1. Deploy to Railway or any HTTPS host.
  2. Verify live manifests: /mcp/tools, /.well-known/x402.json, /registry/server.json.
  3. Submit PR to the open-source MCP Registry using integrations/mcp-registry/server-entry.json.
  4. Bazaar auto-index: after successful x402 settlements through a Bazaar-enabled facilitator, tools appear in the global Bazaar index (Bazaar docs). NodeProxy attaches Bazaar extension metadata on every 402 response.
  5. Enterprise hubs (Google Agent Registry, Anthropic routing): point them at /.well-known/mcp.json or /discovery/agent.json.

Tool descriptions are written for LLM tool-matching, not humans.

Payment rails

RailToolsDestinationAmount
x402 USDCStandard + stealthYour WALLET_ADDRESS$0.002 / $0.05
Stripe MPPStandard onlyStripe account balance$0.50/card (SPT minimum)

MCP stdio (Claude Desktop / local agents)

npm run mcp:stdio

Add to Claude Desktop config:

{

"mcpServers": { "nodeproxy": { "command": "node", "args": ["--import", "tsx", "/path/to/NodeProxy/src/mcp/stdio.ts"], "env": { "WALLET_ADDRESS": "0x..." } } } }

HTTP execute example

# Stage A — get 402 challenge (includes Bazaar extension in PAYMENT-REQUIRED)

curl -i "http://localhost:4022/mcp/execute" \ -H 'Content-Type: application/json' \ -d '{"arguments":{"url":"https://example.com"}}'

Stage B — retry with PAYMENT-SIGNATURE from x402 client wallet

curl "http://localhost:4022/mcp/execute" \ -H 'Content-Type: application/json' \ -H 'PAYMENT-SIGNATURE: ' \ -d '{"arguments":{"url":"https://example.com"}}'

Stealth tier (x402 only)

curl -i "http://localhost:4022/stealth-scrape" \ -H 'Content-Type: application/json' \ -d '{"arguments":{"url":"https://example.com"}}'

Use @x402/fetch, @x402/mcp, or nodeproxy-tools for automatic payment.

Deploy on Railway

Railway is the recommended host: full Node.js (JSDOM works), no 15s serverless timeout, metered billing when idle.

1. Push to GitHub
cd NodeProxy

git init && git add . && git commit -m "NodeProxy MCP x402 parser" git remote add origin https://github.com/YOU/nodeproxy.git git push -u origin main

2. Create Railway project
  1. Go to railway.app → New Project → Deploy from GitHub repo
  2. Select your repo — Railway reads railway.toml + nixpacks.toml automatically
  3. Settings → Networking → Generate Domain (gives you *.up.railway.app)
3. Set environment variables

In Railway → Variables:

VariableValue
WALLET_ADDRESSYour Base wallet (USDC recipient)
X402_NETWORKeip155:8453
PRICE_USDC0.002
STEALTH_PRICE_USDC0.05
CDP_API_KEY_ID / CDP_API_KEY_SECRETCoinbase CDP keys (mainnet facilitator)
MPP_SECRET_KEY / STRIPE_SECRET_KEYStripe MPP (optional)
HOST0.0.0.0
MAX_CONCURRENT_PARSES20
RATE_LIMIT_PER_MINUTE120

You do not need to set PORT or PUBLIC_URL — Railway injects PORT, and the app auto-detects RAILWAY_PUBLIC_DOMAIN for discovery manifests.

4. Verify deploy
curl https://YOUR-APP.up.railway.app/health

curl https://YOUR-APP.up.railway.app/mcp/tools curl https://YOUR-APP.up.railway.app/.well-known/x402.json

5. Register for agent discovery

Open a PR to the MCP Registry with integrations/mcp-registry/server-entry.json. Agents hit:

  • https://YOUR-APP.up.railway.app/mcp/tools
  • https://YOUR-APP.up.railway.app/.well-known/mcp.json
  • https://YOUR-APP.up.railway.app/.well-known/x402.json
Cost expectation

Railway’s free tier gives ~$1/month credit after trial — enough for low traffic (~$0.30–0.50/mo idle). One paid agent call at $0.002 USDC covers that. Scale to Hobby ($5/mo) when bot traffic grows.

Do not use Vercel/Cloudflare Workers for this service — JSDOM and 25s fetch timeouts exceed edge limits.

Production (Base mainnet)

X402_NETWORK=eip155:8453

WALLET_ADDRESS=0xYourWallet PRICE_USDC=0.002 STEALTH_PRICE_USDC=0.05

USDC on Base: 0x833589fcd6edb6e08f4c7c32d4f71b54bda02913

Upstream framework integrations

To get NodeProxy baked into LangChain, CrewAI, and MCP registry discovery:

  • [integrations/UPSTREAM.md](./integrations/UPSTREAM.md) — fork → PR → merge playbook
  • `integrations/python/` — nodeproxy-tools PyPI package + LangChain/CrewAI wrappers
  • `integrations/typescript/` — @nodeproxy/langchain npm package
  • `integrations/mcp-registry/` — MCP registry PR template

Quick LangChain example:

pip install "nodeproxy-tools[x402,langchain]"

export EVM_PRIVATE_KEY=0x...

from nodeproxy_tools.langchain import NodeProxyMarkdownTool tool = NodeProxyMarkdownTool() markdown = tool.invoke({"url": "https://example.com"})

Naming

NodeProxy is registry-ready: boring, predictable, and reads as infrastructure. Tool names (surface_markdown_parser, stealth_markdown_parser) are chosen so semantic search hits match intent.

License

MIT

Part of Gate402

This service is part of the Gate402 x402 agent-API suite — pay-per-call APIs for AI agents over HTTP 402 (USDC on Base). Use it standalone, through the unified storefront + CDP x402 Bazaar at gate402.app, or as an MCP server: npx -y gate402-mcp.

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