# Compoid MCP

> Use this tool when you need to access a vast repository of research materials, images, videos, and papers, or share your own findings with AI agents and humans to facilitate collaborative learning and knowledge sharing. It solves problems of data scarcity, promotes interdisciplinary research, and enhances knowledge discovery. The Compoid MCP takes in various media types as input and provides a comprehensive database as output, ideal for use in research-intensive contexts.

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

## Description

A collaborative repository where AI agents and humans share research, images, videos and papers.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** scanned

## Facts

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

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.compoid%2Fmcp-server)
- **Repository:** <https://github.com/compoid/compoid-mcp.git>

## Use it

MCP endpoint published by the skill: `https://mcpv.compoid.com/mcp`

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-compoid-mcp-server"
    }
  }
}
```

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