OpenNodes

Name: OpenNodes
Author: opennodes-io

by opennodes-ioversion 0.1.14i★ –iComputer or cloud

Registry nameio.github.opennodes-io/opennodes

Install

Overview

Description from the maker (original English)

Discover verified AI inference nodes, get the best node+model per task, pre-price chains.

PopNx MCP’s three pillars

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

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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: Computer or cloud
Transport: stdio, Streamable HTTP
Category: Docs, sheets & office work

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.
You fill in yourself: ONP_REGISTRY

You need

Runs in the cloudNothing to install; it connects over the internet
npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

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

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://registry.opennodes.io/mcp

Or run it on your computer

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

{
  "mcpServers": {
    "opennodes": {
      "command": "npx",
      "args": [
        "-y",
        "@opennodes/cli",
        "mcp"
      ],
      "env": {
        "ONP_REGISTRY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add --transport http opennodes https://registry.opennodes.io/mcp

Or run it on your computer

claude mcp add opennodes --env ONP_REGISTRY=your-value -- npx -y @opennodes/cli mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "opennodes": {
      "url": "https://registry.opennodes.io/mcp"
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "opennodes": {
      "command": "npx",
      "args": [
        "-y",
        "@opennodes/cli",
        "mcp"
      ],
      "env": {
        "ONP_REGISTRY": "your-value"
      }
    }
  }
}

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": {
    "opennodes": {
      "type": "http",
      "url": "https://registry.opennodes.io/mcp"
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "opennodes": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@opennodes/cli",
        "mcp"
      ],
      "env": {
        "ONP_REGISTRY": "your-value"
      }
    }
  }
}

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:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://registry.opennodes.io/mcp

Menu names can differ slightly by plan and over time.

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

Values you fill in

ONP_REGISTRY env
Registry base URL. Defaults to https://registry.opennodes.io; set http://127.0.0.1:4300 for a local registry.

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 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account opennodes-io, 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 Docs, sheets & office worki

More stars than 0% of the other 2192 servers in this category
Published to the registry more recently than 69% of the other 2192 servers in this category
Basic checks equal to or better than 100% of the other 2192 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 OpenNodes 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?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.14) reached the registry 14 days 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: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

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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.

@opennodes/cli

The OpenNodes Protocol (ONP) client: discover verified AI inference nodes, pre-price multi-step chains with enforceable estimates, invoke with pinned prices and signed receipts — and bring all of it into the tools you already use.

`onp mcp` — a stdio MCP server for Cursor, VS Code, Claude Desktop, Kiro and any MCP host. Tools: recommend (best node + model for a task, priced and explained; the prompt never leaves your machine — only extracted features are sent), search_offerings, get_offering, get_node (vet a provider: operator, tier history, availability), estimate. Local models and memory: recommend shows, for models you run yourself (the Ollama library), the memory each size needs (4-bit estimate: 8b ~6 GB, 70b ~46 GB) and, given policy.local_memory_gb, leaves out what cannot fit and picks the largest size that does. This server fills that value from the machine (75% of RAM) when the agent does not pass it, and says so in local_memory.
`onp gateway` — a local OpenAI-compatible server over discovered nodes. Point any OpenAI-SDK app at it. Virtual models onp/auto, onp/auto-cheap, onp/auto-fast, onp/auto-quality, onp/auto-private, onp/auto-eu (EU/EEA operators only), onp/auto-ca or any onp/auto- route each request by the advisor; aliases and query-defined virtual models are supported; every call is receipted. Failover: auto models try up to 5 ranked nodes in turn; a node that hasn't started answering within a budget built from its measured latency and the request size (15 s – 3 min) is skipped; and an OpenRouter-style models: ["a", "b"] list in the request adds further models to try, in order (it is never forwarded to nodes). Auto-routing only picks what you can actually call: free registered nodes, plus the listings of any host you hold a key for — passed with --key host=KEY or picked up from OPENROUTER_API_KEY, HF_TOKEN, OPENAI_API_KEY, MISTRAL_API_KEY, GROQ_API_KEY, TOGETHER_API_KEY, DEEPINFRA_API_KEY, FIREWORKS_API_KEY (each key is sent only to its own host; --no-env-keys turns detection off). Trust floor: registered nodes join the pool from the community tier up, and imported listings (always unverified) score lowest on trust; --min-tier verified refuses anything below verified for every request, named models included (403 policy-refused), and --min-tier unverified also admits registered nodes that haven't passed their checks yet. Passive reputation: every call is remembered per offering — outcome and timing only, never prompts or answers — in ~/.opennodes/reputation.json (last 50 calls, 30 days; --no-reputation to keep it in memory). With 3+ calls it fills success rate and time to first token where the registry has measured nothing (imported listings), and an offering with 3 failures in a row is benched for 15 minutes; registry measurements from blind probes always win. Advice says "your calls: 19 of 20 ok, first token 820 ms". See /gateway/reputation. Embeddings: POST /v1/embeddings (OpenAI shape, single or batched input). onp/auto uses the embedding models already pulled into your local Ollama first (--ollama http://127.0.0.1:11434 by default, --no-ollama to skip): free, and the documents never leave the machine; then registered nodes and hosted embedders on providers you hold a key for, ranked by size, popularity, price and trust, with failover. onp/auto-private is local only; onp/auto-eu / onp/auto- filter hosted ones; an offering id or a bare local name (nomic-embed-text) picks one directly. Cost is logged from reported tokens × the listed price; local calls cost $0.
`onp check` — your own quick verification of a listing the registry hasn't verified (imported catalogs, registered nodes awaiting their checks), with your key and a spend cap (default $0.02, priced before each request; listings without a published price are estimated at $10/$30 per MTok): the model is in /models, it answers, token counts are reported and plausible, time to first token and throughput, a fact surviving a long prompt (--context 8192, or full for 90% of the claimed window), and declared JSON mode / tool calls. onp check / , or --url /v1 --model for any OpenAI-compatible endpoint. Results are saved in ~/.opennodes/checks.json for a week, and the gateway uses them: what failed to answer is skipped by onp/auto, your measured speed fills in where the registry has none, failed JSON/tool support is dropped and a failed context size caps the window. --json for machine-readable output, --no-save to keep it out of routing.
`onp search | estimate | invoke | card` — the CLI.

npx @opennodes/cli mcp --print-config      # paste into your MCP host's config

npx @opennodes/cli gateway --port 4141 # then set OPENAI_BASE_URL=http://127.0.0.1:4141/v1 npx @opennodes/cli search --modality text --tier verified --sort tps

Registry: ONP_REGISTRY — defaults to the hosted registry at https://registry.opennodes.io (9,000+ offerings); set it to http://127.0.0.1:4300 to use your own (npx @opennodes/registry).

Part of OpenNodes · specification · Apache-2.0.

OpenNodes

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Or run it on your computer

Or run it on your computer

Or run it on your computer

Or run it on your computer

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Docs, sheets & office worki

Common questions

Alternatives

Agent-Native Calendar

Excel MCP Server

MCP Server for Excel

README from the maker

@opennodes/cli