Coze Mcp Server

25 MIT

FreeCommunity

AI Systems

mcp server for coze

What is Coze Mcp Server

coze-mcp-server is a Model Context Protocol server designed to provide resources and tools for the COZE framework.

Use cases

Use cases include creating and managing chatbots, integrating automated workflows, and providing user-specific interactions in applications.

How to use

To use coze-mcp-server, you can install it via pip or run it using uvx. After installation, you can execute it as a script or configure it in your application settings.

Key features

Key features include listing workspaces and bots, creating and updating bots, retrieving bot information, publishing bots to API channels, and chatting with bots and workflows.

Where to use

coze-mcp-server can be used in various fields such as chatbot development, workflow automation, and any application requiring context-aware interactions.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Overview

What is Coze Mcp Server

coze-mcp-server is a Model Context Protocol server designed to provide resources and tools for the COZE framework.

Use cases

Use cases include creating and managing chatbots, integrating automated workflows, and providing user-specific interactions in applications.

How to use

To use coze-mcp-server, you can install it via pip or run it using uvx. After installation, you can execute it as a script or configure it in your application settings.

Key features

Key features include listing workspaces and bots, creating and updating bots, retrieving bot information, publishing bots to API channels, and chatting with bots and workflows.

Where to use

coze-mcp-server can be used in various fields such as chatbot development, workflow automation, and any application requiring context-aware interactions.

Clients Supporting MCP

The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.

Claude Desktop: Official desktop application from Anthropic, natively supports MCP protocol. claude.ai

Cherry Studio: Cross-platform desktop client supporting multiple LLM providers, built-in MCP server support. cherry-ai.com

LobeChat: Modern open-source ChatGPT/LLMs UI, supports MCP protocol integration. lobehub.com

DeepChat: Cross-platform desktop AI assistant, compatible with MCP protocol, focusing on privacy and efficiency. deepchat.thinkinai.xyz

5ire: Cross-platform open-source desktop intelligent assistant MCP client, supports local knowledge base and MCP server. 5ire.app

View More MCP Clients

Content

COZE MCP Server

A Model Context Protocol server that provides coze resource and tool.

Available Tools

list_workspaces - Get workspaces list
list_bots - Get bots list
create_bot - Create bot
get_me: Get self user info
list_workspaces: List workspaces
list_bots: List bots
retrieve_bot: Retrieve bot info
create_bot: Create bot
update_bot: Update bot
publish_bot: Publish bot to API channel
chat_with_bot: Chat with bot
chat_with_workflow: Chat with workflow
list_voices: List voice

Installation

Using uv (recommended)

When using uv no specific installation is needed. We will
use uvx to directly run coze-mcp-server.

Using PIP

Alternatively you can install coze-mcp-server via pip:

pip install coze-mcp-server

After installation, you can run it as a script using:

python -m coze_mcp_server

Configuration

Configure for Claude.app

Add to your Claude settings:

Using uvx

Using docker

Using pip installation

Configure for Zed

Add to your Zed settings.json:

Using uvx

Using pip installation

License

MIT License.

Dev Tools Supporting MCP

The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.

Zed: High-performance collaborative code editor, supports MCP protocol, providing a smooth programming experience. zed.dev

Cursor: AI code editor built on VS Code, supports MCP protocol for context-aware programming. cursor.com

Windsurf: AI code editor from Codeium, integrates MCP protocol to provide intelligent code assistance. windsurf.com

Continue: Open-source AI programming assistant plugin, supports VS Code and JetBrains, compatible with MCP protocol. continue.dev

Trae: AI-driven code editor, supports MCP protocol, focusing on enhancing developer programming experience. trae.ai

View More MCP Dev Tools

Tools

No tools

Comments

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