# com.agishub/ai-toolkit

> com.agishub/ai-toolkit — com-agishub-ai-toolkit. Use this tool when you need to analyze and understand human language, as it provides AI-powered functionalities such as text summarization, classification, entity extraction, and transcription. It solves problems related to information overload, sentiment analysis, and data extraction, allowing for more efficient decision-making. With inputs including text and speech, and outputs such as categorized data and summarized content, this toolkit is ideal for applications requiring natural language processing and machine learning capabilities.

Canonical page: https://skillsregistry.net/skills/com-agishub-ai-toolkit  
JSON: https://api.skillsregistry.net/v1/skills/com-agishub-ai-toolkit

## Description

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

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 2.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.agishub%2Fai-toolkit)
- **Repository:** <https://github.com/agishub/agishub-mcp>

## Use it

MCP endpoint published by the skill: `https://api.agishub.com/mcp/ai`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "com-agishub-ai-toolkit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-agishub-ai-toolkit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-agishub-ai-toolkit/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt