All servers · AI models & agents
OpenNodes
io.github.opennodes-io/opennodes · v0.1.14
New (7 days)Tools changed (7 days)
Measured by MCP Station
| Last check | Reachable |
|---|---|
| Checked at | — |
| Check success 7 / 30 days | — |
| First-try success 30 days | — |
| Median response | — |
| Lookups 30 days | — |
| Authentication | No auth |
| MCP version | 2025-06-18 |
| Rank score | — |
| Declared risk | Read-only (all tools declare readOnlyHint) |
| Capabilities declared | tools |
| Tool definitions | 5 tools · with description 100% · input schema is an object 100% · read/destructive hints 100% |
Description written by the publisher, not verified
Discover verified AI inference nodes, get the best node+model per task, pre-price chains.
Connect
streamable-http · https://registry.opennodes.io/mcp
claude mcp add --transport http opennodes https://registry.opennodes.io/mcp{
"mcpServers": {
"opennodes": {
"url": "https://registry.opennodes.io/mcp"
}
}
}Tools as reported by the server
recommendRecommend 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 esearch_offeringsSearch 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, pricinget_offeringFull 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_nodeWho 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. UseestimatePre-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
Tool changes
- 2026-10-23: recommend, search_offerings, get_offering, get_node, estimate
- 2026-10-20: recommend, search_offerings, get_offering, get_node, estimate
Repository · Website · JSON · Text for agents · Registry updated 2026-10-23