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Chanty

Chanty

Local
github.com/asklokeshCommunication0Updated 43w ago
Repository

About Chanty

Chanty is an MCP server that connects GenAI applications to the Chanty team communication platform through its API. It offers broad API coverage, multiple authentication methods, rate limiting, retries, and asynchronous support.

Key features

  1. 01Broad Chanty API coverage
  2. 02Multiple authentication methods
  3. 03Rate limiting
  4. 04Error handling and retries
  5. 05Asynchronous support

Use cases

  1. 01Connecting GenAI applications to Chanty
  2. 02Handling API requests with retries
  3. 03Using Chanty with different authentication methods

MCP support

Exposes Chanty API capabilities to MCP clients, enabling GenAI applications to integrate with the platform.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "asklokesh-chanty": {
      "command": "uvx",
      "args": [
        "chanty-mcp-server"
      ],
      "env": {
        "CHANTY_API_KEY": "<CHANTY_API_KEY>",
        "CHANTY_API_URL": "<CHANTY_API_URL>"
      }
    }
  }
}
Run commanduvx chanty-mcp-server
Environment variables to set
CHANTY_API_KEYSecretAPI Key for CHANTY
CHANTY_API_URLAPI URL for CHANTY

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypichanty-mcp-server0.1.0

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Chanty MCP Server

Chanty Mcp Server

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Python MCP

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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

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.