# mcp-slack

> mcp-slack — gregbuehler-mcp-slack. Use this tool when you need to integrate your Slack account with automated processes, allowing you to search and retrieve message history, resolve user information, and post messages through your own browser session. It solves problems of accessing Slack data programmatically without relying on bot authentication, providing a more personalized and secure interaction. It takes Slack account credentials as input and outputs message data, user information, and posting capabilities, ideal for use cases requiring customized Slack automation and data retrieval.

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

## Description

MCP server that reads Slack through your own browser session, authenticating as you rather than a bot. Provides tools to search messages, retrieve channel/DM/thread history, resolve users, and post messages (write disabled by default).

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/coec3u2qw7)
- **Repository:** <https://github.com/gregbuehler/mcp-slack>

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

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