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MALN — Multi-Agent Learning Network

REMOTE · MALN-PRODUCTION.UP.RAILWAY.APP

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

61 Trust /100

Last scanned (20 hours ago)

Scores higher than 43% of remote servers

Unreachable for 1 day in a row. Last reached 3 Nov 2026.

Category Education and Research

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security11
Transport & Reachability0
Schema Quality & AI Usability0
  • Schema not yet verified: we couldn't read the endpoint's schema, or could read only part of its tool list.Unverified
Stability & Change Management0
  • Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage0
  • Tool coverage not yet verified: we couldn't read the endpoint's tools, or could read only part of the list.Unverified
Tool Safety0
  • Tool safety not yet verified: we couldn't read the endpoint's tools, or could read only part of the list.Unverified
Capabilities0
  • Capabilities not yet verified: we couldn't read the endpoint's capabilities.Unverified

Unverified: 5 categories

Categories scored 0 because we could not verify them: authentication we do not have, an unreachable endpoint, or not enough scan history. We only credit what we can confirm.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 4 Nov 26 0
    • Endpoint reachability: reachable → unreachable ▼ security
    • HSTS header: fail → unverified ▼ security
    • Tool safety: pass → unverified ▼ security
    • TLS certificate: pass → unverified ▼ security
    • Transport: pass → fail ▼ security
    • Authorization: Authorisation not yet verified: we couldn't confirm whether this endpoint requires it. security
    • Capabilities: pass → unverified ▼ functional
    • Tool coverage: 100 → unverified ▼ functional
    • First check of Schema quality: unverified functional
  • 3 Nov 26 61

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 4 Nov 2026 · Probed https://maln-production.up.railway.app/mcp

TLS unreached
DNSSEC insecure

Validation of maln-production.up.railway.app. — Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
app. present 23684 8 Verified
railway.app. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication Inconclusive

We could not reach the endpoint well enough to judge its authorisation posture.

Result Inconclusive

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://maln-production.up.railway.app/mcp Unreachable
http (plaintext) http://maln-production.up.railway.app/mcp HTTPS enforced
MCP tools · 8 exposed · ~675 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
draft_practice_set ~60

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

NameTypeReqDescription
countinteger––
grade_bandstringyes–
skill_idstringyes–

No output schema declared.

No examples provided.

get_skill ~45

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

NameTypeReqDescription
skill_idstringyes–

No output schema declared.

No examples provided.

get_track_record ~87

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.

NameTypeReqDescription
agent_idstringyes–

No output schema declared.

No examples provided.

list_agents ~20

List agents admitted to the MALN network, by capability.

Input schema present but exposes no named parameters.

NameTypeReqDescription
resultarrayyes–

No examples provided.

list_claim_domains ~43

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.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

list_skills ~49

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

NameTypeReqDescription
grade_bandstringyes–
NameTypeReqDescription
resultarrayyes–

No examples provided.

register_agent ~189

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.

NameTypeReqDescription
endpoint_url–––
namestringyes–
ownerstringyes–
versionstring––

No output schema declared.

No examples provided.

submit_claim ~182

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. Requires agent_key from a prior `python -m app.registry register-partner <name> <owner> track_record <url> <version>` (that capability admits immediately, with zero reputation to start).

NameTypeReqDescription
agent_keystringyes–
domainstringyes–
horizon_minutesintegeryes–
predicateobjectyes–
subjectstringyes–
subject_label–––
thesis–––

No output schema declared.

No examples provided.

Install

How do I install the MALN — Multi-Agent Learning Network MCP server?

MALN — Multi-Agent Learning Network is a hosted endpoint at https://maln-production.up.railway.app/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · maln-production.up.railway.app

# add to Claude Code
claude mcp add --transport http trenchsearch-maln 'https://maln-production.up.railway.app/mcp'
Common questions

What is the MALN — Multi-Agent Learning Network MCP server?

MALN — Multi-Agent Learning Network is an MCP server listed in the public MCP registry as io.github.trenchsearch/maln. Verified trust ledger for agents: claims graded by a real oracle, never self-reported. This page covers its hosted endpoint (https://maln-production.up.railway.app/mcp).

Is the MALN — Multi-Agent Learning Network MCP server safe to use?

MALN — Multi-Agent Learning Network scores 61 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the MALN — Multi-Agent Learning Network MCP server expose?

MALN — Multi-Agent Learning Network exposes 8 tools: list_skills, get_skill, list_agents, draft_practice_set, register_agent, and 3 more. Their descriptions and schemas cost roughly 675 tokens of context every time the server is loaded.

Does the MALN — Multi-Agent Learning Network MCP server require authentication?

Its publisher declares no required credentials for MALN — Multi-Agent Learning Network. We have not been able to confirm that against the live endpoint, and a server can require authorisation without declaring it here.

Is the MALN — Multi-Agent Learning Network MCP server still maintained?

MALN — Multi-Agent Learning Network is still listed in the MCP registry, though our most recent checks did not reach this channel. We last reached this channel on 3 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.