What dependencies does agentic-slackbot require?
Python and `uv` are required. Dependencies are installed with `uv sync`.
@agentika
Basic information
A simple Slack bot that uses the OpenAI Agents SDK to interact with the Model Context Protocol (MCP) server.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"agentic-slackbot": {
"command": "uv",
"args": [
"sync"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A simple Slack bot that uses the OpenAI Agents SDK to interact with the Model Context Protocol (MCP) server.
Install dependencies with uv sync, set environment variables (OPENAI_API_KEY, SLACK_BOT_TOKEN, SLACK_APP_TOKEN, etc.), and run the bot with uv run bot. A Docker build command is also provided.
Python and `uv` are required. Dependencies are installed with `uv sync`.
Set the required environment variables and run `uv run bot` from the project root.
Yes. Build the image with `docker build . -t telegram-bot` and run it with the necessary environment variables.
The default model is `gpt-4o`, configurable via the OPENAI_MODEL environment variable.
Yes. Set AZURE_OPENAI_API_KEY, AZURE_OPENAI_ENDPOINT, OPENAI_MODEL, and OPENAI_API_VERSION instead of the OpenAI variables.
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