AI/ML Research Papers
REMOTE · AI.MEMORYAPI.ORG
AI/ML research papers from arXiv, DBLP, and HuggingFace
Available components
Last scanned (20 hours ago)
Scores higher than 62% of remote servers
Reachable. Last reached 4 Nov 2026.
Category Education and Research
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 Security57
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- Authorisation not fully verified: no authorisation is required to call this server, and 3 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. See how to fix → View diagnostics → Unverified
- HTTPS is enforced; there's no plaintext access path. View diagnostics → Pass
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability69
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 259 tokens (~86/item across 3 items; 3 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management97
- Stability observed for 29 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 3 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 3 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities20
- Spec-recency check failed: implements MCP spec 2024-11-05; the latest is 2026-07-28. See how to fix → Fail
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
- Stability: pass → 0.97 functional
- 28 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 25 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 26 Aug 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 25 Aug 26 0
- Stability: 0.97 → pass security
- 11 Aug 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 31 Jul 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 30 Jul 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
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://ai.memoryapi.org/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=memoryapi.org | CN=WE1,O=Google Trust Services,C=US | 21 Oct 2026 | 19 Jan 2027 | ECDSA 256 | ECDSA-SHA256 | bb55c575430a74a7139fb9fc2e710a7a |
| SANs: memoryapi.org, *.memoryapi.org | ||||||
| CN=WE1,O=Google Trust Services,C=US (CA) | CN=GTS Root R4,O=Google Trust Services LLC,C=US | 13 Dec 2023 | 20 Feb 2029 | ECDSA 256 | ECDSA-SHA384 | 7ff31977972c224a76155d13b6d685e3 |
| CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) | CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE | 15 Nov 2023 | 28 Jan 2028 | ECDSA 384 | SHA256-RSA | 7fe530bf331343bedd821610493d8a1b |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of ai.memoryapi.org. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| org. | present | 26974 | 8 | Verified |
| memoryapi.org. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://ai.memoryapi.org/mcp | Verified | 200 | |
| http (plaintext) | http://ai.memoryapi.org/mcp | HTTPS enforced | 301 | https://ai.memoryapi.org/mcp |
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 →
get_ai_papers ~99
Get trending or searched AI/ML research papers from HuggingFace Papers. Returns trending papers for a given date or search results by keyword.
| Name | Type | Req | Description |
|---|---|---|---|
| date | string | – | Date for trending papers (YYYY-MM-DD, default: yesterday) |
| limit | number | – | Number of results (max 25) |
| q | string | – | Search query (for type=search) |
| type | string | – | trending or search (default: trending) |
No output schema declared.
No examples provided.
search_arxiv_ai ~94
Search arXiv for AI/ML papers by keyword and category. Returns recent submissions sorted by date.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | – | arXiv category: cs.AI, cs.LG, cs.CL, cs.CV, cs.RO, stat.ML (default: cs.LG) |
| limit | number | – | Number of results (max 20) |
| q | string | – | Keyword search query |
No output schema declared.
No examples provided.
search_dblp ~66
Search DBLP computer science bibliography for publications or authors. Free, no key required.
| Name | Type | Req | Description |
|---|---|---|---|
| author | string | – | Search by author name instead of publication title |
| limit | number | – | Number of results (max 25) |
| q | string | – | Publication search query |
No output schema declared.
No examples provided.
How do I install the AI/ML Research Papers MCP server?
AI/ML Research Papers is a hosted endpoint at https://ai.memoryapi.org/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 · ai.memoryapi.org
claude mcp add --transport http org-memoryapi-ai 'https://ai.memoryapi.org/mcp'
What is the AI/ML Research Papers MCP server?
AI/ML Research Papers is an MCP server listed in the public MCP registry as org.memoryapi/ai. AI/ML research papers from arXiv, DBLP, and HuggingFace. This page covers its hosted endpoint (https://ai.memoryapi.org/mcp).
Is the AI/ML Research Papers MCP server safe to use?
AI/ML Research Papers scores 74 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 AI/ML Research Papers MCP server expose?
AI/ML Research Papers exposes 3 tools: get_ai_papers, search_arxiv_ai, search_dblp. Their descriptions and schemas cost roughly 259 tokens of context every time the server is loaded.
Does the AI/ML Research Papers MCP server require authentication?
No. We connected to AI/ML Research Papers without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the AI/ML Research Papers MCP server still maintained?
AI/ML Research Papers is still listed as active in the MCP registry. We last reached this channel on 4 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.