Summary
Brings Chanty's team collaboration platform into your AI workflows through the Model Context Protocol. This wraps the Chanty API with async support, rate limiting, and retry logic for production use. You can manage conversations, channels, and team communications programmatically from Claude or other MCP clients. The server handles authentication and error cases so you can focus on building collaboration workflows. Useful if you're already using Chanty for team chat and want to automate messaging, pull conversation history, or integrate team communications into larger AI assisted workflows without building direct API calls yourself.
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one prompt install →Chanty MCP Server
Chanty Mcp Server
A Model Context Protocol (MCP) server for integrating Chanty with GenAI applications.
Overview
Team collaboration and communication platform
Features
- Comprehensive Chanty API coverage
- Multiple authentication methods
- Enterprise-ready with rate limiting
- Full error handling and retry logic
- Async support for better performance
Installation
pip install chanty-mcp-server
Or install from source:
git clone https://github.com/asklokesh/chanty-mcp-server.git
cd chanty-mcp-server
pip install -e .
Configuration
Create a .env file or set environment variables according to Chanty API requirements.
Quick Start
from chanty_mcp import ChantyMCPServer
# Initialize the server
server = ChantyMCPServer()
# Start the server
server.start()
License
MIT License - see LICENSE file for details
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one prompt install →Configuration
CHANTY_API_KEY*secretAPI Key for CHANTY
CHANTY_API_URLAPI URL for CHANTY