# Krill.to MCP Server

> Use this tool when you need to efficiently manage Twitter bookmarks, as it enables AI agents to search and organize bookmarks via krill.to, solving problems of information overload and disorganization. It takes Twitter bookmark data as input and provides organized and searchable output, streamlining the process of accessing relevant information. Ideal for use cases where AI agents require rapid access to bookmarked Twitter content.

Canonical page: https://skillsregistry.net/skills/krillto-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/krillto-mcp-server

## Description

Enables AI agents to search and manage Twitter/X bookmarks via krill.to.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cqmhpxfr6i)
- **Repository:** <https://github.com/krillto/mcp-server>

## 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": "krillto-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/krillto-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/krillto-mcp-server/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