This client enables AI models (OpenAI GPT-4.1, Anthropic Claude 4.5, Ollama local models) to interact with real tools and systems through Slack
This client enables AI models (OpenAI GPT-4.1, Anthropic Claude 4.5, Ollama local models) to interact with real tools and systems through Slack conversations. Built on the industry-standard Model Context Protocol (MCP), it provides secure. Exposed over MCP by the slack mcp client mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
Everything the assistant can do here goes through one of these:
Prerequisites — The Prerequisites tool exposed by this serverYou will need 7 environment variables: GITHUB_PERSONAL_ACCESS_TOKEN, SLACK_BOT_TOKEN, SLACK_APP_TOKEN, OPENAI_API_KEY, OPENAI_MODEL, LOG_LEVEL, GITHUB_TOKEN. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
This sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Slack MCP Client's toolset — Prerequisites — is a fair guide to whether it matches your workflow. It is maintained by tuannvm; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| Prerequisites | The Prerequisites tool exposed by this server. |
{
"$schema": "https://github.com/tuannvm/slack-mcp-client/schema/config-schema.json",
"version": "2.0",
"slack": {
"botToken": "${SLACK_BOT_TOKEN}",
"appToken": "${SLACK_APP_TOKEN}"
},
"llm": {
"provider": "openai",
"useNativeTools": true,
"useAgent": true,
"customPrompt": "You are a DevOps expert specializing in Kubernetes and cloud infrastructure. Always think through problems step by step.",
"maxAgentIterations": 20,
"providers": {
"openai": {
"model": "gpt-4.1",
"apiKey": "${OPENAI_API_KEY}",
"temperature": 0.7
}
}
},
"mcpServers": {
"filesystem": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/project"]
},
"github": {
"command": "github-mcp-server",
"args": ["stdio"],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "${GITHUB_TOKEN}"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| GITHUB_PERSONAL_ACCESS_TOKEN | Credential the server authenticates with. | Yes |
| SLACK_BOT_TOKEN | Credential the server authenticates with. | Yes |
| SLACK_APP_TOKEN | Credential the server authenticates with. | Yes |
| OPENAI_API_KEY | Credential the server authenticates with. | Yes |
| OPENAI_MODEL | Configuration value read at startup. | Optional |
| LOG_LEVEL | Configuration value read at startup. | Optional |
| GITHUB_TOKEN | Credential the server authenticates with. | Yes |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.