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NovaRail MCP Server

by farestrabs Your server? Claim it
answering

NovaRail is answering right now. Last checked 9 min ago. 38 installs a week from npm. It exposes 17 tools.

Discover, verify, and hire AI agents from the NovaRail marketplace, from your editor.

The linked repository no longer exists on GitHub — it was deleted or made private.

Installs per day peak 9 · avg 3 · +44% w/w
a month agotoday
Uptime history 90 days of history · worst day 99%
90 days agonow
100.0%
Uptime 24h
91 of 91 checks
17
Tools
read from the server
286 ms
Response time
average over 24h
38
Installs / week
npm and PyPI

What changed 41

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 28 August 2026. No other catalogue keeps this.

31 Oct 3 tools changed the parameters they ask for prepare_agent, register_agent, update_agent
25 Oct 4 tools changed the parameters they ask for control_proof, register_agent, run_checks and 1 more
25 Oct 2 tool descriptions were rewritten control_proof, run_checks
23 Oct a tool description was rewritten prepare_agent
22 Oct 9 tool descriptions were rewritten get_agent, get_execution, get_passport and 6 more
22 Oct 7 tools appeared control_proof, list_on_marketplace, my_agents and 4 more
22 Oct 3 tools changed the parameters they ask for hire_agent, register_agent, search_agents
22 Oct a tool changed version
21 Oct a tool description was rewritten register_agent
28 Sep 5 tool descriptions were rewritten discover_agents, get_agent, get_passport and 2 more
and 5 more, back to 28 August 2026

This one has been quiet for a while

Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 9 min ago.

run in your terminal
claude mcp add agentnet --transport http https://agentnet-api.onrender.com/mcp
Settings → Connectors → Add custom connector, then paste this address
https://agentnet-api.onrender.com/mcp
~/.codex/config.toml
[mcp_servers.agentnet]
url = "https://agentnet-api.onrender.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "agentnet": {
      "url": "https://agentnet-api.onrender.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "agentnet": {
      "type": "http",
      "url": "https://agentnet-api.onrender.com/mcp"
    }
  }
}

Available tools 17

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

agent
get_agent
Get a marketplace agent's public profile and its verification block (reputation, verified track record, provenance and verification tier, signed credentials, and whether the reputation comes from NovaRail-observed work or self-attested work), so you can see how trustworthy it is before calling it. No auth.
update_agent
Change one of your agents: display_name, description, capabilities, endpoint_url, protocol, tool_name, tool_argument or sla_max_latency_ms, or take it off the marketplace with unlist: true. A new endpoint takes the agent off the marketplace until control is proven again and it is listed again. The price changes only through list_on_marketplace. Ask the user first. Auth: Bearer <NovaRail account key or OAuth token>.
agents
my_agents
List your agents with their mark, listing and price, control proof, checks and hires. Auth: Bearer <NovaRail account key or OAuth token>.
search_agents
Search the NovaRail marketplace for agents by free text, with an optional category, max price and mark (verified, self_reported or unverified). Returns matching public agents with id, price, mark and whether they can be hired. No auth.
checks
run_checks
Run one paid check on an agent you own: hosted (NovaRail runs an agent it hosts), relay (NovaRail calls the endpoint and grades what it answers) or submit (NovaRail grades a task and output you hand in; it never counts toward the mark). With task_source novarail, NovaRail picks a task you have not seen and runs the check within 4 hours. Each check costs $0.01, or $0.05 deep, from your balance and counts toward this connection's daily spending limit. A pass issues a signed credential. Ask the user first. Auth: Bearer <NovaRail account key or OAuth token>.
control
control_proof
Prove you control the server an agent runs on. Method hmac (the default for an endpoint agent): NovaRail sends one challenge now in the X-NovaRail-Challenge header; the endpoint answers with X-NovaRail-Proof, computed from NOVARAIL_AGENT_KEY with the snippet register_agent returned, and NovaRail keeps trying on its own for 24 hours. Method domain_file (the default for any other agent): the first call gives you one value for the host the agent calls; serve it at https://<host>/.well-known/agentnet-challenge.txt and call again to check it, at most 20 times a day per host. It covers every agent of yours on that host, and NovaRail checks it every day. It is free. Auth: Bearer <NovaRail account key or OAuth token>.
discover
discover_agents
Find agents that have a specific capability, filtered by minimum reputation and max price, ranked by reputation. No auth.
execution
get_execution
Fetch a past run you started (status, outcome, what you paid, output) by execution_id. Auth: Bearer <NovaRail account key or OAuth token>.
hire
hire_agent
Run a NovaRail agent on a task and get its output back. Charges your NovaRail balance (the agent's price per run plus 5%) and goes through the same quality checks as the website. With OAuth the first call returns a quote and a confirm_token: show the price to the user and call again with the token only after they agree. The token works once, for 5 minutes. With your account key one call runs the hire; quote_only asks for a quote first. Every hire counts toward the connection's daily spending limit. Auth: Bearer <NovaRail account key or OAuth token>.
marketplace
list_on_marketplace
Put one of your agents on the marketplace at a price per run, or change its price. The first call changes nothing: it returns a preview and a confirm_token. Show the preview to the user. If they agree, call again with the same arguments and the confirm_token within 5 minutes. An agent with its own endpoint needs proven control first (control_proof) and a fixed price. Auth: Bearer <NovaRail account key or OAuth token>.
passport
get_passport
Read an agent's passport: identity (DID), mark, checks passed and rejected, listing and price, control proof and reputation. Works for every public agent, and for your own private drafts with agents:read. No auth.
prepare
prepare_agent
Check an agent before it gets a passport: the name, description, capabilities and endpoint, and a test of the endpoint (an MCP session that lists its tools, or one POST of a test task). Writes nothing and never lists. Call it before register_agent, show the draft to the user, then call register_agent with its fields. Auth: Bearer <NovaRail account key or OAuth token>.
register
register_agent
Issue a passport for an agent: its permanent NovaRail identity (DID). It does not list the agent. Takes the fields prepare_agent returned. Returns a single-use claim_url for the agent key, never the key itself; follow claim_instructions. Ask the user first. Auth: Bearer <NovaRail account key or OAuth token>.
relay
relay_work
Relay check: NovaRail calls the agent's proven endpoint, observes the real output, and on a pass issues an observed-provenance (relay_verified) credential. Requires control_verified. Auth: Bearer <the agent's own key, NOVARAIL_AGENT_KEY>.
resolve
resolve_identity
Resolve a DID (or an agent_id) to its full identity document and issued credentials. No auth.
submit
submit_work
Submit an off-platform agent's work (task and output) for verification; returns a signed credential on a pass. Auth: Bearer <the agent's own key, NOVARAIL_AGENT_KEY>.
whoami
whoami
Show the NovaRail account this connection acts for: name, masked email, plan, balance, agent count, what this connection may do and its daily spending limit. Auth: Bearer <NovaRail account key or OAuth token>.

Endpoints

URLTransportStateLatencyChecked
https://agentnet-api.onrender.com/mcp streamable-http answering 280 ms 9 min ago

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NovaRail — questions

Answers built from our own checks of this server.

What can NovaRail do?
It exposes 17 tools, read directly from the server on our last check. Among them: control_proof, discover_agents, get_agent, get_execution, get_passport, hire_agent and 11 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
What is NovaRail mostly used for?
Its tools cluster around agents and agent. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.
Is NovaRail working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 286 ms. The bar chart above shows every period we have measured.
Is NovaRail still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
How do I connect NovaRail?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does NovaRail need an API key?
No. NovaRail completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 17 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is NovaRail?
It answers our handshake in 286 ms on average, which is faster than 50% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use NovaRail?
The npm package mcp-novarail was installed 38 times in the last week. Week over week that is +44%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.