AI Workstation Open Source Intelligence
REMOTE · MCP.AIWORKSTATION.CN
Read-only AI project discovery, verification, comparison, shortlisting, and stack planning.
Available components
Last scanned (31 minutes ago)
Scores higher than 82% of remote servers
Reachable. Last reached 18 Oct 2026.
Category AI and Machine Learning
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 Security74
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- 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 Usability54
- AI-judged instruction clarity (fair).Partial
- Context-footprint check failed: tool/resource definitions use about 1065 tokens (~118/item across 9 items; 9 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage71
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 0% of tool parameters carry a description.Fail
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 9 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 10 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a current MCP spec version (2026-07-28).Pass
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.
- 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
- 27 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
- 25 Sept 26 +1
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 23 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.
- 21 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 73 to 77. That category is still filling its 30-day observation window: 22 days of observed history at the previous scan, 23 at this one. The score rises as the window fills, whether or not the server changes.
- 19 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 67 to 70. That category is still filling its 30-day observation window: 20 days of observed history at the previous scan, 21 at this one. The score rises as the window fills, whether or not the server changes.
- 17 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 60 to 63. That category is still filling its 30-day observation window: 18 days of observed history at the previous scan, 19 at this one. The score rises as the window fills, whether or not the server changes.
- 15 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 53 to 57. That category is still filling its 30-day observation window: 16 days of observed history at the previous scan, 17 at this one. The score rises as the window fills, whether or not the server changes.
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 18 Oct 2026 · Probed https://mcp.aiworkstation.cn/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=mcp.aiworkstation.cn | CN=YE1,O=Let's Encrypt,C=US | 9 Oct 2026 | 7 Jan 2027 | ECDSA 256 | ECDSA-SHA384 | 6708c054bef060bd8305e349fa96f284e14 |
| SANs: mcp.aiworkstation.cn | ||||||
| CN=YE1,O=Let's Encrypt,C=US (CA) | CN=Root YE,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | ECDSA 384 | ECDSA-SHA384 | 5ddd70dd31f801c85c186a7a04b80afe |
| CN=Root YE,O=ISRG,C=US (CA) | CN=ISRG Root X2,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | ECDSA-SHA384 | 872165fc34b6e5fba8add5b3705fb53a |
| CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | SHA256-RSA | 6c8f1dc727c7117f7baf853ac980f9cd |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of mcp.aiworkstation.cn. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| cn. | present | 33094 | 8 | Verified |
| aiworkstation.cn. | 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://mcp.aiworkstation.cn/mcp | Verified | 200 | |
| http (plaintext) | http://mcp.aiworkstation.cn/mcp | HTTPS enforced | 308 | https://mcp.aiworkstation.cn/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 →
browse_radar_projects ~155
Browse rankings, collections, categories, scenarios, topics or filtered projects.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | – | – |
| collection | string | – | – |
| deployment | string | – | – |
| github_topic | string | – | – |
| layer | string | – | – |
| license | string | – | – |
| limit | integer | – | – |
| locale | string | – | – |
| offset | integer | – | – |
| query | string | – | – |
| radar_topic | string | – | – |
| ranking | string | – | – |
| request_id | string | – | – |
| resource_type | string | – | – |
| role | string | – | – |
| scenario | string | – | – |
| topic | string | – | – |
| use_case | string | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
browse_radar_skills ~104
Browse/filter the Radar Skills library or open one Skill by ID.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | – | – |
| installable | boolean | – | – |
| kind | string | – | – |
| license | string | – | – |
| limit | integer | – | – |
| locale | string | – | – |
| offset | integer | – | – |
| query | string | – | – |
| request_id | string | – | – |
| skill_id | string | – | – |
| sort | string | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
compare_ai_projects ~53
Compare two to five projects in one explicit decision context.
| Name | Type | Req | Description |
|---|---|---|---|
| context | – | – | – |
| criteria | – | – | – |
| locale | string | – | – |
| project_ids | array | yes | – |
| request_id | string | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
compose_ai_stack ~55
Compose a candidate open-source AI stack and expose unknown compatibility.
| Name | Type | Req | Description |
|---|---|---|---|
| business_goal | string | yes | – |
| constraints | – | – | – |
| existing_stack | – | – | – |
| locale | string | – | – |
| request_id | string | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
find_alternatives ~46
Find verified candidate alternatives while preserving constraints.
| Name | Type | Req | Description |
|---|---|---|---|
| constraints | – | – | – |
| locale | string | – | – |
| project_id | string | yes | – |
| request_id | string | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
get_license_evidence ~45
Get observed license evidence; the result is not legal advice.
| Name | Type | Req | Description |
|---|---|---|---|
| locale | string | – | – |
| project_id | string | yes | – |
| request_id | string | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
get_project_facts ~43
Get current evidence-backed public facts for one project.
| Name | Type | Req | Description |
|---|---|---|---|
| locale | string | – | – |
| project_id | string | yes | – |
| request_id | string | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
get_radar_overview ~38
Discover current rankings, collections, categories, scenarios and filters.
| Name | Type | Req | Description |
|---|---|---|---|
| locale | string | – | – |
| request_id | string | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
search_ai_projects ~47
Find and verify open-source AI projects from explicit requirements.
| Name | Type | Req | Description |
|---|---|---|---|
| constraints | – | – | – |
| locale | string | – | – |
| query | string | yes | – |
| request_id | string | – | – |
Structured output declared, but exposes no named fields.
No examples provided.
How do I install the AI Workstation Open Source Intelligence MCP server?
AI Workstation Open Source Intelligence is a hosted endpoint at https://mcp.aiworkstation.cn/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 · mcp.aiworkstation.cn
claude mcp add --transport http zxhwolfe-dev-aiworkstation-open-source-intellige 'https://mcp.aiworkstation.cn/mcp'
What is the AI Workstation Open Source Intelligence MCP server?
AI Workstation Open Source Intelligence is an MCP server listed in the public MCP registry as io.github.zxhwolfe-dev/aiworkstation-open-source-intelligen…. Read-only AI project discovery, verification, comparison, shortlisting, and stack planning. This page covers its hosted endpoint (https://mcp.aiworkstation.cn/mcp).
Is the AI Workstation Open Source Intelligence MCP server safe to use?
AI Workstation Open Source Intelligence scores 79 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 Workstation Open Source Intelligence MCP server expose?
AI Workstation Open Source Intelligence exposes 9 tools: search_ai_projects, get_project_facts, get_license_evidence, compare_ai_projects, find_alternatives, and 4 more. Their descriptions and schemas cost roughly 586 tokens of context every time the server is loaded.
Does the AI Workstation Open Source Intelligence MCP server require authentication?
No. We connected to AI Workstation Open Source Intelligence without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the AI Workstation Open Source Intelligence MCP server still maintained?
AI Workstation Open Source Intelligence is still listed as active in the MCP registry. We last reached this channel on 18 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.