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OpenNodes

by FastDrop

MCP Verified 2 hours ago Registry import free

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

Discover verified AI inference nodes, get the best node+model per task, pre-price chains. Official MCP Registry: io.github.opennodes-io/opennodes@0.1.2. Package/stdio server - no remote endpoint to probe.

Problem it solves

Discoverable MCP server listed in the official MCP Registry.

How it's different

Package server from the official registry (no remote probe).

Ingested from the official MCP Registry

FastDrop pulled this entry from the official MCP Registry as io.github.opennodes-io/opennodes and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed and the description is not theirs.

If this is your server, claim the listing to edit it and take ownership. The registry index lists everything else still awaiting a probe.

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Tools this endpoint exposes

Read directly from the endpoint on 19 Oct 2026. Not supplied by the maker.

  • 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

  • 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 c

  • 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. Ta

  • 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 regis

  • 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 token

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Matched on shared tags and the tools their MCP servers actually expose.

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