# Slack MCP

> Use this tool when you need to manage and automate Slack conversations, allowing you to read and respond to messages directly from Claude. It solves problems such as streamlining communication and reducing manual effort in Slack workflows. With inputs of Slack messages and outputs of automated responses, use it to enhance productivity and efficiency in team collaboration contexts.

Canonical page: https://skillsregistry.net/skills/feamster-slack-mcp  
JSON: https://api.skillsregistry.net/v1/skills/feamster-slack-mcp

## Description

Read and respond to Slack from Claude.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mazn31qqei)
- **Repository:** <https://github.com/feamster/slack-mcp>

## 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": "feamster-slack-mcp"
    }
  }
}
```

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