# AI Workstation Open Source Intelligence (remote · mcp.aiworkstation.cn)

Read-only AI project discovery, verification, comparison, shortlisting, and stack planning.

- Trust score: 66/100 (medium)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-01

## Components

- remote · `mcp.aiworkstation.cn`: 66/100 (this document), [markdown](https://verifymcp.io/servers/zxhwolfe-dev-aiworkstation-open-source-intelligence/mcp.md), [page](https://verifymcp.io/servers/zxhwolfe-dev-aiworkstation-open-source-intelligence/mcp)

## Channel facts

- Endpoint: `https://mcp.aiworkstation.cn/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `0.3.3`

## Trust breakdown

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. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-09-01.

- **Endpoint Security**: 74/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 54/100
  - AI-judged instruction clarity (fair).
  - 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.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 10/100
  - Stability observed for 3 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 71/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
  - Structured output schemas are declared (100% of tools); any adoption earns full credit.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 9 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 10 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a current MCP spec version (2026-07-28).

## Install

### 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.

### Claude

```bash
claude mcp add --transport http zxhwolfe-dev-aiworkstation-open-source-intellige 'https://mcp.aiworkstation.cn/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "zxhwolfe-dev-aiworkstation-open-source-intellige": {
      "url": "https://mcp.aiworkstation.cn/mcp"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "zxhwolfe-dev-aiworkstation-open-source-intellige": {
      "type": "http",
      "url": "https://mcp.aiworkstation.cn/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.zxhwolfe-dev-aiworkstation-open-source-intellige]
url = "https://mcp.aiworkstation.cn/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "zxhwolfe-dev-aiworkstation-open-source-intellige": {
      "type": "remote",
      "url": "https://mcp.aiworkstation.cn/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add zxhwolfe-dev-aiworkstation-open-source-intellige --url 'https://mcp.aiworkstation.cn/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  zxhwolfe-dev-aiworkstation-open-source-intellige:
    url: "https://mcp.aiworkstation.cn/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "zxhwolfe-dev-aiworkstation-open-source-intellige": {
      "Transport": "http",
      "Url": "https://mcp.aiworkstation.cn/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add zxhwolfe-dev-aiworkstation-open-source-intellige -t streamable-http -u 'https://mcp.aiworkstation.cn/mcp'
```

### Other

```json
{
  "mcpServers": {
    "zxhwolfe-dev-aiworkstation-open-source-intellige": {
      "type": "http",
      "url": "https://mcp.aiworkstation.cn/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-31 (score 66, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-08-30 (score 65, 0)

- [functional improvement] Stability: unverified → 0.03

### 2026-08-29 (score 65)

First indexed and scored.

## MCP tools (9)

### `search_ai_projects` (~47 tokens)

Find and verify open-source AI projects from explicit requirements.

Input parameters:

- `constraints`
- `locale` (string)
- `query` (string, required)
- `request_id` (string)

### `get_project_facts` (~43 tokens)

Get current evidence-backed public facts for one project.

Input parameters:

- `locale` (string)
- `project_id` (string, required)
- `request_id` (string)

### `get_license_evidence` (~45 tokens)

Get observed license evidence; the result is not legal advice.

Input parameters:

- `locale` (string)
- `project_id` (string, required)
- `request_id` (string)

### `compare_ai_projects` (~53 tokens)

Compare two to five projects in one explicit decision context.

Input parameters:

- `context`
- `criteria`
- `locale` (string)
- `project_ids` (array, required)
- `request_id` (string)

### `find_alternatives` (~46 tokens)

Find verified candidate alternatives while preserving constraints.

Input parameters:

- `constraints`
- `locale` (string)
- `project_id` (string, required)
- `request_id` (string)

### `compose_ai_stack` (~55 tokens)

Compose a candidate open-source AI stack and expose unknown compatibility.

Input parameters:

- `business_goal` (string, required)
- `constraints`
- `existing_stack`
- `locale` (string)
- `request_id` (string)

### `get_radar_overview` (~38 tokens)

Discover current rankings, collections, categories, scenarios and filters.

Input parameters:

- `locale` (string)
- `request_id` (string)

### `browse_radar_projects` (~155 tokens)

Browse rankings, collections, categories, scenarios, topics or filtered projects.

Input parameters:

- `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)

### `browse_radar_skills` (~104 tokens)

Browse/filter the Radar Skills library or open one Skill by ID.

Input parameters:

- `category` (string)
- `installable` (boolean)
- `kind` (string)
- `license` (string)
- `limit` (integer)
- `locale` (string)
- `offset` (integer)
- `query` (string)
- `request_id` (string)
- `skill_id` (string)
- `sort` (string)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/zxhwolfe-dev-aiworkstation-open-source-intelligence/mcp#diagnostics

## Score history

- 2026-09-01: 66
- 2026-08-31: 66
- 2026-08-30: 65
- 2026-08-29: 65

## Common questions

### 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 66 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 1 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://mcp.aiworkstation.cn/mcp
- Repository: https://github.com/zxhwolfe-dev/aiworkstation-open-source-intelligence
- Website: https://useaistation.com/ai-open-source-intelligence/
- Changelog RSS feed: https://verifymcp.io/servers/zxhwolfe-dev-aiworkstation-open-source-intelligence/mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/zxhwolfe-dev-aiworkstation-open-source-intelligence/mcp.json
- HTML version of this page: https://verifymcp.io/servers/zxhwolfe-dev-aiworkstation-open-source-intelligence/mcp