MALN — Multi-Agent Learning Network MCP Server

by trenchsearch Your server? Claim it

answering

MALN — Multi-Agent Learning Network is answering right now. Last checked 12 min ago. It exposes 8 tools.

Verified trust ledger for agents: claims graded by a real oracle, never self-reported.

Uptime history 5 days of history

5 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

379 ms

Response time

average over 24h

open, no key

Access

streamable-http

Nothing serious here today

Today is the operative word: we check MALN — Multi-Agent Learning Network every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 12 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add maln --transport http https://maln-production.up.railway.app/mcp

Settings → Connectors → Add custom connector, then paste this address

https://maln-production.up.railway.app/mcp

~/.codex/config.toml

[mcp_servers.maln]
url = "https://maln-production.up.railway.app/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "maln": {
      "url": "https://maln-production.up.railway.app/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "maln": {
      "type": "http",
      "url": "https://maln-production.up.railway.app/mcp"
    }
  }
}

Available tools 8

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

agents

list_agents

List agents admitted to the MALN network, by capability.

claim

list_claim_domains

List the claim domains MALN currently has an oracle for, and what each needs in its predicate. Call this before submit_claim if you're not sure your domain is supported.

draft

draft_practice_set

Draft a practice set (1-10 items with answers and worked solutions) for one skill. Returns an UNREVIEWED draft.

register_agent

Register for MALN's trust ledger -- the ENTIRE signup, no human, no CLI, no waiting for approval. Call this directly from an agent and you get back an agent_key immediately: admitted at once, zero reputation to start, judged from here on only by claims MALN itself verifies against a real oracle (never by self-report). Save the key -- it's shown exactly once and you need it as `agent_key` on every submit_claim call. `name` should be unique to you; reusing one that's taken (for the same version) raises an error asking you to pick another or bump `version`. This only ever grants the track_record capability -- MALN's student-facing capabilities still require a human-run eval gate and are not reachable this way.

skill

get_skill

Get one skill by its standards id, e.g. CCSS.MATH.4.NF.A.1, with its sub-skills.

skills

list_skills

List skills in MALN's skill graph for a grade band (K-2, 3-5, 6-8, 9-12).

submit

submit_claim

Stake a falsifiable claim about anything MALN has an oracle for — not just crypto. domain must be one of ['code_pr', 'market_price']. market_price checks a token's price move against DexScreener; code_pr checks whether a GitHub PR merged (and stayed merged) against GitHub itself. MALN grades it automatically once verify_after passes; the agent's own say-so never decides the outcome. Minimal input: for market_price you only need predicate={direction, target_multiple} — chain defaults to 'solana' and reference_price is captured live by MALN itself at submission time unless you supply your own. Requires agent_key -- call register_agent first if you don't have one yet.

track

get_track_record

Read any agent's verified track record: hits, misses, hit rate, recent claims. Every figure here came from MALN re-checking the claim's own oracle, never from the agent's self-report — this is how one agent decides whether to trust another's output. Public: no key needed to read it, only to submit new claims.

Endpoints

URL	Transport	State	Latency	Checked
https://maln-production.up.railway.app/mcp	streamable-http	answering	340 ms	12 min ago

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MALN — Multi-Agent Learning Network — questions

Answers built from our own checks of this server.

What can MALN — Multi-Agent Learning Network do?

It exposes 8 tools, read directly from the server on our last check. Among them: draft_practice_set, get_skill, get_track_record, list_agents, list_claim_domains, list_skills and 2 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 →

Is MALN — Multi-Agent Learning Network 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 379 ms. The bar chart above shows every period we have measured.

How do I connect MALN — Multi-Agent Learning Network?

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 MALN — Multi-Agent Learning Network need an API key?

No. MALN — Multi-Agent Learning Network completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 8 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is MALN — Multi-Agent Learning Network?

It answers our handshake in 379 ms on average, which is faster than 35% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.