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com.mcparmory/slack MCP Server

com.mcparmory/slack

Manage Slack channels, conversations, users, and workspace apps programmatically via MCP.

What is the com.mcparmory/slack MCP server?

The Slack MCP server enables AI agents to manage Slack workspaces programmatically, including channels, conversations, users, and workspace apps. It provides full API coverage generated from Slack's OpenAPI specification and tested against the live API.

This server connects Claude and other AI agents to Slack, allowing you to automate workspace management tasks like creating channels, posting messages, managing users, and controlling workspace apps. It's useful for building AI-powered Slack bots and automation workflows.

How to install com.mcparmory/slack

Copy-paste configuration for popular MCP clients.

transport: stdio
Config generated by PluginBench — verify against the source before use.
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "slack": {
      "command": "uvx",
      "args": [
        "mcparmory-slack"
      ]
    }
  }
}

Tools & capabilities

Tools this server exposes to the agent.

  • Channel Management — Create, list, and manage Slack channels
  • Conversation Management — Send and manage messages in conversations
  • User Management — Manage workspace users and permissions
  • Workspace Apps — Control and configure workspace applications

Use cases

  • Automate channel creation and management based on project needs
  • Post messages and notifications to Slack channels programmatically
  • Manage user access and permissions across the workspace
  • Monitor and control workspace apps and integrations
  • Build AI-powered Slack bots that respond to workspace events

com.mcparmory/slack MCP server FAQ

What is the Slack MCP server?

It's an MCP server that gives AI agents programmatic access to Slack's API, allowing automation of channels, conversations, users, and workspace apps.

Is it free to use?

The server itself is free (MIT licensed), but you need a Slack workspace and API credentials to use it.

How do I install it in Claude Desktop or Cursor?

Install via pip (pip install mcparmory-slack) or uvx, then configure your MCP client with your Slack API token in the environment variables.

What authentication is required?

You need a Slack API token (Bearer token) with appropriate scopes for the operations you want to perform.

Is it production-ready?

Yes, servers in MCP Armory are generated from OpenAPI specs and tested against the live API before release.

Can I use it with other AI clients besides Claude?

Yes, any MCP-compatible client (Cursor, Codex, Claude Code) can use this server.

README (reference)

Source of truth, from the repository.

<p align="center"> <img src="https://wjxawmrpsfuivlicnepc.supabase.co/storage/v1/object/public/newsletter/logo-armory-no-background.png" alt="MCP Armory" height="64"> </p> <h1 align="center">MCP Armory Registry</h1> <p align="center"> Production-ready MCP servers for popular APIs, generated by <a href="https://mcpblacksmith.com">MCP Blacksmith</a>. </p> <p align="center"> <a href="https://github.com/mcparmory/registry/stargazers"><img src="https://img.shields.io/github/stars/mcparmory/registry?style=flat&color=gold" alt="GitHub Stars"></a> <a href="https://github.com/mcparmory/registry/blob/main/servers/github/LICENSE"><img src="https://img.shields.io/badge/license-MIT-blue" alt="License"></a> <img src="https://img.shields.io/badge/servers-79-8A2BE2" alt="Servers"> <img src="https://img.shields.io/badge/python-3.11+-3776AB?logo=python&logoColor=white" alt="Python 3.11+"> </p> <p align="center"> <a href="#servers">Servers</a> &middot; <a href="#install--usage">Install & Usage</a> &middot; <a href="#features">Features</a> &middot; <a href="#how-servers-are-generated">How it works</a> &middot; <a href="#license">License</a> </p>

MCP servers that connect AI agents to real-world APIs. Each server is a standalone Python package — generated from the upstream OpenAPI spec using MCP Blacksmith and tested against the live API before release. Hosted on MCP Armory or run independently.

<!-- SERVERS:BEGIN -->

Servers

🧠 AI & Machine Learning   ElevenLabs · Linkup · Parallel · Perplexity AI · Ragie · Replicate

📊 Analytics   Ahrefs · Datadog · Google Analytics · Google Search Console · Linkly · Mixpanel · PostHog

⛓️ Blockchain & Crypto   Alchemy NFT

💼 CRM & Sales   Apollo

💬 Communication   Atlassian Confluence · Google Gmail · MailerSend · Mailtrap · Postmark · Resend · Slack

🗄️ Data & Databases   Enigma · Pinecone

🛠️ Developer Tools   AgentQL · Apify · Bitbucket · Bright Data · Browserbase · BuiltWith · Canvas · CircleCI · Codacy · Contentful Management · ConvertAPI · E2B · Firecrawl · GitHub · GitLab · LaunchDarkly · Postman · Scrapingant · Semrush AppCenter · Sentry

📄 Documents & Printing   PDF.co

🛒 E-commerce   Shopify Admin

💰 Finance   Alpha Vantage · Polygon · Ramp

👥 HR & Recruiting   BambooHR

☁️ Infrastructure   Globalping · Grafana · PagerDuty · Rootly · Runpod

⚖️ Legal & Compliance   NetLicensing

🗺️ Maps & Location   Google Maps Platform · IP2Location.io IP Geolocation · OpenCage Geocoding

📣 Marketing   Customer.io Journeys Track · Klaviyo

🎬 Media & Entertainment   Canva · Perigon

✅ Productivity   Airtable · Asana · Atlassian Jira · ClickUp · Figma · Google Sheets · Miro · Notion · Outline · Shortcut

🔍 Search   Algolia Search · Google Search

📦 Storage   Box · Files.com · Google Drive

📌 Other   Close

More servers are being added continuously.

<!-- SERVERS:END -->

Install & Usage

Every server is a standalone PyPI package (mcparmory-<server-name>). Each server's own README.md has full credential setup and configuration instructions.

# With uvx (no install needed)
uvx mcparmory-github

# With pip
pip install mcparmory-github
mcparmory-github

MCP client configuration (Claude Desktop, Cursor, Codex, Claude Code):

{
  "mcpServers": {
    "github": {
      "command": "uvx",
      "args": ["mcparmory-github"],
      "env": {
        "BEARER_TOKEN": "ghp_your_token_here"
      }
    }
  }
}

Features

Every server in this registry provides:

  • Full API coverage — all endpoints from the OpenAPI spec are exposed as MCP tools
  • Authentication — API key, Bearer token, Basic auth, OAuth2, JWT, OpenID Connect, and mutual TLS
  • Multi-auth — servers that support multiple auth methods let you configure whichever you prefer
  • Pydantic validation — request parameters are validated before sending to the API
  • Resilience — configurable retries with exponential backoff, connection pooling, and timeouts
  • Response sanitization — optional redaction of sensitive fields from API responses

How servers are generated

Servers are generated by MCP Blacksmith, an automated pipeline that:

  1. Parses an OpenAPI specification
  2. Transforms operations through LLM-driven passes (naming, parameter filtering, enhancement, classification)
  3. Generates a complete MCP server with auth, models, validation, and configuration
  4. Tests every tool against the live API using an autonomous agent
  5. Deploys passing servers to this registry

The generator targets Python 3.11+ and uses FastMCP as the MCP framework.

Contributing

Servers are auto-generated — don't edit server code directly. If you find an issue, open a GitHub Issue describing:

  • Broken or deprecated endpoints
  • Missing or incorrect parameters
  • Authentication problems
  • Incorrect request/response models

We'll re-generate the affected server with the fix. To request a new server, open an issue with a link to the API's OpenAPI spec or documentation.

License

Each generated server is released under the MIT License. The underlying APIs have their own terms of service — see individual server READMEs for details.


<p align="center"> <a href="https://mcparmory.com">MCP Armory</a> &middot; <a href="https://mcpblacksmith.com">MCP Blacksmith</a> &middot; <a href="https://docs.mcpblacksmith.com/quickstart">Docs</a> </p>

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