{
"mcpServers": {
"coze-studio-plus": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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基于 coze-studio 二次开发的增强版本;支持 mcpservers 配置
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
Apache-2.0. View license →
Is it maintained?
Last commit 115 days ago. 5 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
This server is missing a description. Tools and install config are also missing.If you've used it, help the community.
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Persistent memory using a knowledge graph
Privacy-first. MCP is the protocol for tool access. We're the virtualization layer for context.
Pre-build reality check. Scans GitHub, HN, npm, PyPI, Product Hunt — returns 0-100 signal.
Monitor browser logs directly from Cursor and other MCP compatible IDEs.
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Coze Studio is an all-in-one AI agent development tool. Providing the latest large models and tools, various development modes and frameworks, Coze Studio offers the most convenient AI agent development environment, from development to deployment.
Coze Studio, derived from the "Coze Development Platform" which has served tens of thousands of enterprises and millions of developers, we have made its core engine completely open. It is a one-stop visual development tool for AI Agents that makes creating, debugging, and deploying AI Agents unprecedentedly simple. Through Coze Studio's visual design and build tools, developers can quickly create and debug agents, apps, and workflows using no-code or low-code approaches, enabling powerful AI app development and more customized business logic. It's an ideal choice for building low-code AI products tailored . Coze Studio aims to lower the threshold for AI agent development and application, encouraging community co-construction and sharing for deeper exploration and practice in the AI field.
The backend of Coze Studio is developed using Golang, the frontend uses React + TypeScript, and the overall architecture is based on microservices and built following domain-driven design (DDD) principles. Provide developers with a high-performance, highly scalable, and easy-to-customize underlying framework to help them address complex business needs.
| Module | Feature |
| --- | --- |
| Model service | Manage the model list, integrate services such as OpenAI and Volcengine |
| Build agent | * Build, publish, and manage agent
* Support configuring workflows, knowledge bases, and other resources |
| Build apps | * Create and publish apps
* Build business logic through workflows |
| Build a workflow | Create, modify, publish, and delete workflows |
| Develop resources | Support creating and managing the following resources:
* Plugins
* Knowledge bases
* Databases
* Prompts |
| API and SDK | * Create conversations, initiate chats, and other OpenAPI
* Integrate agents or apps into your own app through Chat SDK |
Learn how to obtain and deploy the open-source version of Coze Studio, quickly build projects, and experience Coze Studio's open-source version.
Environment requirements:
Deployment steps:
Retrieve the source code.
# Clone code
git clone https://github.com/coze-dev/coze-studio.git
Deploy and start the service. When deploying and starting Coze Studio for the first time, it may take a while to retrieve images and build local images. Please be patient. If you see the message "Container coze-server Started," it means the Coze Studio service has started successfully.
cd coze-studio