NestDaddy

OpenNodes

io.github.opennodes-io/opennodes · v0.1.14

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

Connect Remote server

Terminal
claude mcp add --transport http opennodes https://registry.opennodes.io/mcp
~/.cursor/mcp.json
{
  "mcpServers": {
    "opennodes": {
      "url": "https://registry.opennodes.io/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "opennodes": {
      "type": "http",
      "url": "https://registry.opennodes.io/mcp"
    }
  }
}
Claude Desktop
Settings > Connectors > Add custom connector
URL: https://registry.opennodes.io/mcp

Tools 7 found in our last check

  • recommend

    Recommend the best AI node + model for a task, with an enforceable cost estimate and human-readable reasons. Use this first when you know the task but not the model. Pass `task` (sent to this registry, which extracts features and discards the text) or `features` already extracte…

  • search_offerings

    Search AI inference offerings in the OpenNodes registry — registered nodes AND imported catalogs (OpenRouter, Hugging Face Inference Providers, models.dev, local nodes). All filters are optional and combine with AND. Returns { offerings, total, counts }: each offering has node_i…

  • get_offering

    Full detail for one offering: endpoints, pricing, serving capabilities (context window, supported features, languages, hardware), data policy, trust tier, and the registry's observed probe results. Take node_id and offering_id from search_offerings or recommend results.

  • get_node

    Who runs a node and how it has behaved: operator, country and regions, endpoints, declared hardware, trust tier and its history (verifications, suspensions, reinstatements, with reasons), recent registry probe results with an availability summary, and its offerings with context…

  • estimate

    Pre-price an invocation chain BEFORE spending money. Each step is either a concrete offering ("node_id/offering_id") or a `select` query that picks the best match, plus expected input and output tokens. Returns per-step cost bounds in USD, the pinned card_revision that makes eac…

  • find_locations

    Where AI models are served, by country: every known serving site (provider, region, city or facility, live or planned) with its evidence basis (claimed, documented, measured, attested), its source page, a map point (`geo`: lat, lon, precision; `derived` when only the region is k…

  • find_residency

    What each AI provider officially promises about where prompts, outputs and stored data stay: per provider (cloud, lab API, inference host or router), its commitments, each with a commitment level (processing: inference and stored data stay in the scope; storage: data at rest onl…

Details

Endpointhttps://registry.opennodes.io/mcp (Streamable HTTP)
Package@opennodes/[email protected] (NPM, stdio)
First published23 Oct 2026
Last updated23 Oct 2026
Registry nameio.github.opennodes-io/opennodes

More productivity servers See all

Listing data from the official MCP registry. Status and tools from NestDaddy's daily check. Browse all MCP servers.