# AgentClip MCP Server

> Use this tool when you need to manage personal browser clips in the cloud, enabling AI agents to store, search, and retrieve clips securely. It solves problems of clip organization, retrieval, and authentication, providing a seamless interface for keyword and semantic searches. The AgentClip MCP Server takes in user tokens and clip data as inputs, and outputs searched or retrieved clips, making it ideal for use cases requiring secure and efficient clip management.

Canonical page: https://skillsregistry.net/skills/0xkaz-agentclip  
JSON: https://api.skillsregistry.net/v1/skills/0xkaz-agentclip

## Description

Enables AI agents to store, search (keyword and semantic), retrieve, update, and delete personal browser clips from a Cloudflare-backed store, authenticated via per-user token.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ybh4s6eufu)
- **Repository:** <https://github.com/0xkaz/agentclip>

## Use it

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": "0xkaz-agentclip"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/0xkaz-agentclip` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/0xkaz-agentclip/pull`

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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