# Slack MCP

> Use this tool when you need to integrate AI models with Slack, enabling them to interact with channels, send messages, and retrieve chat history. It solves problems such as automating Slack tasks, building chatbots, and analyzing conversations, accepting inputs like API requests and outputs like JSON data. Ideal for use cases requiring programmatic access to Slack functionality, such as virtual assistants or customer support bots.

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

## Description

A .NET-based Model Context Protocol server and Python client for interacting with the Slack Web API. It enables AI models to manage channels, send messages, retrieve chat history, and handle emoji reactions.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ipzqnbavn7)
- **Repository:** <https://github.com/antonhofstader/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": "antonhofstader-slack-mcp"
    }
  }
}
```

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