# nomos-slack-mcp

> Use this tool when you need to integrate AI agents with Slack workspaces, enabling them to read and write messages on behalf of users. It solves the problem of limited bot functionality by using Slack user tokens for authentic actions, allowing seamless interaction across multiple workspaces. This tool takes Slack user tokens as input and outputs messages, making it ideal for applications requiring human-like communication in Slack environments.

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

## Description

An MCP server that enables AI agents to read and write Slack messages as the user, not as a bot, using Slack user tokens for authentic actions across multiple workspaces.

## Trust

- **Trust score (0–1):** 0.67
- **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/m7lsu974lj)
- **Repository:** <https://github.com/project-nomos/nomos-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": "project-nomos-nomos-slack-mcp"
    }
  }
}
```

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