# ai.flyvolo/knowledge (remote · mcp.flyvolo.ai)

Evidence-graded, task-level record of how AI and automation change jobs and degrees. Read-only.

- Trust score: 63/100 (medium)
- Change this week: +3
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-29

## Components

- remote · `mcp.flyvolo.ai`: 63/100 (this document), [markdown](https://verifymcp.io/servers/ai-flyvolo-knowledge/mcp.md), [page](https://verifymcp.io/servers/ai-flyvolo-knowledge/mcp)

## Channel facts

- Endpoint: `https://mcp.flyvolo.ai/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `0.1.1`

## 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 2026-09-29.

- **Endpoint Security**: 46/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 18 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - HTTPS enforcement could not be verified: the plaintext port answered with HTTP 405, which proves neither a plaintext path nor enforcement.
  - 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**: 70/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 1332 tokens (~74/item across 18 items; 18 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 50/100
  - Stability observed for 15 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 67/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 18 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 18 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### How do I install the ai.flyvolo/knowledge MCP server?

ai.flyvolo/knowledge is a hosted endpoint at https://mcp.flyvolo.ai/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 ai-flyvolo-knowledge 'https://mcp.flyvolo.ai/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "ai-flyvolo-knowledge": {
      "url": "https://mcp.flyvolo.ai/mcp"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "ai-flyvolo-knowledge": {
      "type": "http",
      "url": "https://mcp.flyvolo.ai/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.ai-flyvolo-knowledge]
url = "https://mcp.flyvolo.ai/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ai-flyvolo-knowledge": {
      "type": "remote",
      "url": "https://mcp.flyvolo.ai/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add ai-flyvolo-knowledge --url 'https://mcp.flyvolo.ai/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  ai-flyvolo-knowledge:
    url: "https://mcp.flyvolo.ai/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "ai-flyvolo-knowledge": {
      "Transport": "http",
      "Url": "https://mcp.flyvolo.ai/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add ai-flyvolo-knowledge -t streamable-http -u 'https://mcp.flyvolo.ai/mcp'
```

### Other

```json
{
  "mcpServers": {
    "ai-flyvolo-knowledge": {
      "type": "http",
      "url": "https://mcp.flyvolo.ai/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.

### 2026-09-28 (score 63, +1)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-09-26 (score 62, 0)

- [security] Tool “get_ontology” rewrote its description, which is the text the model reads
- [functional regression] Schema quality: 65 → 74
- [functional] New tool “query_ontology”

### 2026-09-25 (score 62, +1)

- [functional regression] Schema quality: 963 → 1118
- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server
- [functional] New tool “get_ontology”

### 2026-09-23 (score 61, +1)

No change was recorded against any check on this day. Stability & Change Management went from 27 to 30. That category is still filling its 30-day observation window: 8 days of observed history at the previous scan, 9 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-21 (score 60, +1)

No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-19 (score 59, +1)

No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-09-16 (score 58, +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.

### 2026-09-15 (score 57, 0)

- [functional improvement] Stability: unverified → 0.03

## MCP tools (18)

### `resolve_occupation_or_major` (~109 tokens)

Resolve a job title, a company's internal name for a role, a nickname or a degree name to a canonical VOLO entity. Call this FIRST whenever a person names their job. Returns a match field of exact or approximate — when it is approximate, say which entity you read the question as. Returns null when VOLO does not cover it, which is a gap in this site and not a statement about the job.

Input parameters:

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

### `search` (~46 tokens)

Search occupations, majors and verified change records by keyword. Returns entries, not judgements.

Input parameters:

- `limit` (number)
- `locale` (string)
- `query` (string, required)

### `get_occupation` (~74 tokens)

Full task-level assessment of one occupation. Every task carries direction, basis (evidenced vs inferred) and limits — what that judgement does NOT establish. The impact index is not a probability of job loss and never appears without its confidence and assessment date.

Input parameters:

- `locale` (string)
- `slug` (string, required)

### `get_ontology` (~213 tokens)

Where an occupation or a degree sits in the official classifications (U.S. Department of Labor O*NET 31.0; U.S. Department of Education CIP–SOC crosswalk; the EU's ESCO, the ILO's ISCO-08 and Singapore's SSOC 2024): the matching codes with how well each fits, the skills, knowledge and work activities O*NET rates highest (as O*NET's own importance words, no numbers), related occupations and which degrees lead to it; each of this site's tasks aligned to O*NET detailed work activities (or why none fits); and the rules this site's verified records read, with the verb that matters and whom it binds. For a degree: where the official crosswalk and this site's paths agree and disagree. Every block names its source. O*NET says what a job demands, not what automation is doing to it; never combine it with the impact index.

Input parameters:

- `locale` (string)
- `slug` (string, required)

### `query_ontology` (~156 tokens)

Walk the VOLO Ontology directly. No arguments: the object types and link types. `type`: the objects of that type. `type` + `id`: one object's properties and everything it links to, grouped by link. Add `link` (and `direction`: out|in) to follow one link. Types include Occupation, Task, TaskJudgement, Evidence, Regulation, WorkActivity and ClassificationConcept. Read-only; judgements keep their basis and limits, evidence its scope — carry them into the answer. No aggregate score exists.

Input parameters:

- `direction` (string)
- `id` (string)
- `link` (string)
- `locale` (string)
- `type` (string)

### `get_role_tasks` (~43 tokens)

The task breakdown for one occupation. The unit of assessment is the task, never the job title.

Input parameters:

- `locale` (string)
- `slug` (string, required)

### `find_evidence` (~81 tokens)

Verified evidence records for an occupation, optionally for one task. Each record carries its scope (where it applies), its stage, whether that stage can move a task judgement at all, and its source tier. Repeat the scope rather than smoothing it away.

Input parameters:

- `locale` (string)
- `slug` (string, required)
- `taskId` (string)

### `get_change` (~54 tokens)

One verified change record by id, with VOLO's reading: what it means, what it does not yet establish, and what a reader can verify themselves.

Input parameters:

- `id` (string, required)
- `locale` (string)

### `find_affected` (~35 tokens)

Which occupation and which specific tasks a change record bears on.

Input parameters:

- `id` (string, required)
- `locale` (string)

### `get_change_history` (~34 tokens)

The verified change timeline for an occupation, oldest first.

Input parameters:

- `locale` (string)
- `slug` (string, required)

### `find_transition_paths` (~65 tokens)

Options for someone in this occupation. Every path carries its real constraints (time, pay cut, seniority) and one action they can take this week that produces information. Never present a path without its constraint.

Input parameters:

- `locale` (string)
- `slug` (string, required)

### `list_business_functions` (~47 tokens)

For the business side: the functions a company is organised into, and which occupations sit in each. Use this when someone describes a company rather than themselves.

Input parameters:

- `locale` (string)

### `get_major` (~59 tokens)

A degree and the occupations it feeds. There is no score for a major and never will be — answer 'should I switch majors' by pointing at where it leads and what transfers.

Input parameters:

- `locale` (string)
- `slug` (string, required)

### `find_majors_for_occupation` (~34 tokens)

Which degrees lead into this occupation.

Input parameters:

- `locale` (string)
- `slug` (string, required)

### `find_notes` (~110 tokens)

VOLO's long-form answers to the big questions — how many jobs AI has actually taken, what actually gets automated, how long someone has, what AI law already changed, where AI lands in a company. Call this FIRST for any question that is about the whole picture rather than one occupation: those are exactly the questions you can answer fluently without evidence, and these notes are the evidence. Each result carries the note's own limits.

Input parameters:

- `locale` (string)
- `query` (string)

### `get_note` (~57 tokens)

The full text of one note, section by section, each section with the verified records it rests on. Use it when you need to quote or cite rather than summarise.

Input parameters:

- `locale` (string)
- `slug` (string, required)

### `find_notes_for_occupation` (~53 tokens)

Which notes argue from this occupation's own records or task judgements. Use it to point someone from their own page to the wider answer.

Input parameters:

- `locale` (string)
- `slug` (string, required)

### `describe_coverage` (~62 tokens)

What VOLO covers and what it does not, including which occupations have no evidence yet. Call this when someone asks whether their job is covered, so the answer is a fact about this site rather than a guess about their job.

Input parameters:

- `locale` (string)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/ai-flyvolo-knowledge/mcp#diagnostics

## Score history

- 2026-09-29: 63
- 2026-09-28: 63
- 2026-09-27: 62
- 2026-09-26: 62
- 2026-09-25: 62
- 2026-09-24: 61
- 2026-09-23: 61
- 2026-09-22: 60
- 2026-09-21: 60
- 2026-09-20: 59
- 2026-09-19: 59
- 2026-09-18: 58
- 2026-09-17: 58
- 2026-09-16: 58
- 2026-09-15: 57
- 2026-09-14: 57

## Common questions

### What is the ai.flyvolo/knowledge MCP server?

ai.flyvolo/knowledge is an MCP server listed in the public MCP registry as ai.flyvolo/knowledge. Evidence-graded, task-level record of how AI and automation change jobs and degrees. Read-only. This page covers its hosted endpoint (https://mcp.flyvolo.ai/mcp).

### Is the ai.flyvolo/knowledge MCP server safe to use?

ai.flyvolo/knowledge scores 63 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.flyvolo/knowledge MCP server expose?

ai.flyvolo/knowledge exposes 18 tools: resolve_occupation_or_major, search, get_occupation, get_ontology, query_ontology, and 13 more. Their descriptions and schemas cost roughly 1,332 tokens of context every time the server is loaded.

### Does the ai.flyvolo/knowledge MCP server require authentication?

No. We connected to ai.flyvolo/knowledge without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the ai.flyvolo/knowledge MCP server still maintained?

ai.flyvolo/knowledge is still listed as active in the MCP registry. We last reached this channel on 29 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.flyvolo.ai/mcp
- Repository: https://github.com/weihermans/VOLO
- Website: https://flyvolo.ai/
- Changelog RSS feed: https://verifymcp.io/servers/ai-flyvolo-knowledge/mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/ai-flyvolo-knowledge/mcp.json
- HTML version of this page: https://verifymcp.io/servers/ai-flyvolo-knowledge/mcp