# com.agishub/ai-toolkit (remote · api.agishub.com)

AI tools for agents: chat, summarize, classify, entity extraction, embeddings, transcription. x402

- Trust score: 62/100 (medium)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- remote · `api.agishub.com`: 62/100 (this document), [markdown](https://verifymcp.io/servers/com-agishub-ai-toolkit/mcp-ai.md), [page](https://verifymcp.io/servers/com-agishub-ai-toolkit/mcp-ai)

## Channel facts

- Endpoint: `https://api.agishub.com/mcp/ai`
- Transports: `streamable-http`
- Auth: `none`
- Version: `2.1.1`

## 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 2026-08-03.

- **Endpoint Security**: 49/100
  - 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 6 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 not yet verified: we couldn't determine whether a plaintext access path exists.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC is configured correctly; the domain's records validate against the full chain to the root.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 71/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 369 tokens (~61/item across 6 items; 6 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 20/100
  - Stability observed for 6 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add --transport http com-agishub-ai-toolkit https://api.agishub.com/mcp/ai
```

### Codex

```toml
[mcp_servers.com-agishub-ai-toolkit]
url = "https://api.agishub.com/mcp/ai"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "com-agishub-ai-toolkit": {
      "type": "remote",
      "url": "https://api.agishub.com/mcp/ai",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add com-agishub-ai-toolkit --url https://api.agishub.com/mcp/ai --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  com-agishub-ai-toolkit:
    url: "https://api.agishub.com/mcp/ai"
```

### Other

```json
{
  "mcpServers": {
    "com-agishub-ai-toolkit": {
      "type": "http",
      "url": "https://api.agishub.com/mcp/ai"
    }
  }
}
```

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.

### 2026-08-03 (score 62, +1)

No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-08-02 (score 61, +9)

- [functional improvement] Schema quality: unverified → good

### 2026-07-31 (score 52, +1)

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

### 2026-07-30 (score 51, +1)

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

### 2026-07-29 (score 50, 0)

- [functional improvement] Stability: unverified → 0.03

### 2026-07-28 (score 50)

First indexed and scored.

## MCP tools (6)

### `summarize` (~64 tokens)

Summarize a block of text into a short abstract, with an optional target length. No external API key required.

Input parameters:

- `max_words` (integer): Approximate maximum length of the summary, in words (default ~80).
- `text` (string, required): The text to summarize.

### `classify` (~64 tokens)

Classify a text into exactly one of the candidate labels you provide (e.g. sentiment, topic, intent).

Input parameters:

- `labels` (array, required): Candidate labels to choose from, e.g. ['positive','negative','neutral'].
- `text` (string, required): The text to classify.

### `extract_entities` (~43 tokens)

Extract named entities from text — people, organizations, locations, dates and miscellaneous — returned as structured JSON.

Input parameters:

- `text` (string, required): The text to extract named entities from.

### `transcribe` (~70 tokens)

Transcribe an audio file (given by public URL) to text. Handles mp3, wav, m4a, ogg and more.

Input parameters:

- `audio_url` (string, required): Public URL of an audio file (mp3, wav, m4a, ogg, ...) to transcribe to text.

### `embed` (~46 tokens)

Turn text into a numeric embedding vector for semantic search, RAG and similarity. Multilingual.

Input parameters:

- `text` (string, required): Text to embed into a numeric vector for semantic search / RAG.

### `chat` (~82 tokens)

Ask a general-purpose LLM a question or give it an instruction, with an optional system prompt. No external API key required.

Input parameters:

- `max_tokens` (integer): Maximum tokens to generate (default 512).
- `prompt` (string, required): The user's message or question for the assistant.
- `system` (string): Optional system instruction to steer the assistant's behaviour/persona.

## Diagnostics

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

## Score history

- 2026-08-03: 62
- 2026-08-02: 61
- 2026-08-01: 52
- 2026-07-31: 52
- 2026-07-30: 51
- 2026-07-29: 50
- 2026-07-28: 50

## Links

- Remote endpoint: https://api.agishub.com/mcp/ai
- Repository: https://github.com/agishub/agishub-mcp
- Website: https://agishub.com/
- Changelog RSS feed: https://verifymcp.io/servers/com-agishub-ai-toolkit/mcp-ai/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/com-agishub-ai-toolkit/mcp-ai/changelog.json
- HTML version of this page: https://verifymcp.io/servers/com-agishub-ai-toolkit/mcp-ai