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Independent project, not affiliated with Anthropic
asklokesh avatar

Chanty

asklokesh/chanty-mcp-server
authSTDIOregistry active
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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Chanty MCP Server

Chanty Mcp Server

GitHub stars GitHub forks GitHub watchers

License Issues Pull Requests Last Commit

Python MCP

Commit Activity Code Size Contributors

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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Configuration

CHANTY_API_KEY*secret

API Key for CHANTY

CHANTY_API_URL

API URL for CHANTY

Registryactive
Packagechanty-mcp-server
TransportSTDIO
AuthRequired
UpdatedDec 31, 2025
View on GitHub

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