# Clink MCP Server

> Use this tool when you need to facilitate collaboration and coordination between humans and AI agents on complex projects. It solves problems of disjointed communication, progress tracking, and decision-making by providing a centralized platform for group messaging, project tracking, and milestone management. With inputs such as project plans and agent assignments, and outputs like consensus votes and progress updates, the Clink MCP Server enables seamless multi-session collaboration across various platforms.

Canonical page: https://skillsregistry.net/skills/voxos-ai-inc-clink-mcp-server-python  
JSON: https://api.skillsregistry.net/v1/skills/voxos-ai-inc-clink-mcp-server-python

## Description

Enables agentic coordination by connecting humans and AI agents through group messaging, project tracking, and milestone management. It provides tools for consensus voting, progress checkpoints, and multi-session collaboration across various agentic platforms.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/frfufrf0uh)
- **Repository:** <https://github.com/Voxos-ai-Inc/clink-mcp-server-python>

## 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": "voxos-ai-inc-clink-mcp-server-python"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/voxos-ai-inc-clink-mcp-server-python` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/voxos-ai-inc-clink-mcp-server-python/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