# Slack Conversations

> Use this tool when you need to access and analyze conversation history from Slack channels, enabling AI assistants to reference team communications without direct Slack API integration. It solves problems of data accessibility and integration, providing a bridge between AI systems and Slack's messaging platform. The tool accepts authentication tokens and API keys as inputs and outputs conversation history, making it ideal for use cases where secure and customized access to Slack data is required.

Canonical page: https://skillsregistry.net/skills/korotovsky-slack-conversations  
JSON: https://api.skillsregistry.net/v1/skills/korotovsky-slack-conversations

## Description

Slack MCP Server provides a bridge between AI assistants and Slack's messaging platform, enabling access to conversation history from Slack channels. Developed by Dmitrii Korotovskii, this Go implementation authenticates with Slack using XOXC and XOXD tokens, handling the necessary HTTP transport customization to maintain session cookies. The server supports both stdio and SSE transport modes, includes API key authentication for secure access, and offers optional HTTP proxy and custom CA certificate configuration. Particularly useful for AI assistants that need to analyze, reference, or work with team communications stored in Slack channels without requiring direct Slack API integration.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/korotovsky-slack-conversations)
- **Repository:** <https://github.com/korotovsky/slack-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": "korotovsky-slack-conversations"
    }
  }
}
```

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