MCP server

OpenNodes Official

io.github.opennodes-io/opennodes

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Website Source

At a glance

Type

MCP server

Publisher

opennodes.io (verified by the MCP Registry)

Status

Working at last check

Tools

5

Token cost

About 2,852 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.opennodes]
url = "https://registry.opennodes.io/mcp"

Gemini CLI

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

Cursor

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

VS Code

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

Antigravity

agy mcp add opennodes https://registry.opennodes.io/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"opennodes","server_url":"https://registry.opennodes.io/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"opennodes","server_url":"https://registry.opennodes.io/mcp"}

Tools

• estimate ~877 tokens
  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 each estimate enforceabl
• get_node ~269 tokens
  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 window and price. Use
• get_offering ~189 tokens
  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.
• recommend ~730 tokens
  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 extracted on your side with e
• search_offerings ~787 tokens
  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 }: each offering has node_id, offering_id, model, pricin

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