volcengine/mcp-server

The MCP Server shared repository in the Volcano Engine Large Model Ecosystem Plaza supports users in exploring and experiencing the rich ecosystem services of large models, easily integrating comprehensive and user-friendly tools, while enjoying enterprise-level stable, efficient, and secure technical support, fully unleashing model potential and empowering innovative application development.

Volcano Engine Large Model Ecosystem Plaza is currently available on 100+ MCP servers, integrating a wealth of official Volcano Engine cloud services and high-quality third-party ecosystem tools. It also supports users in combining Volcano Ark’s large model services to quickly navigate to Volcano Ark or other MCP-supported platforms (such as Trae, Cursor, Python, etc.), helping enterprise developers precisely create AI large model applications tailored to their business scenarios and bridging the “last mile” of large model deployment.

Product Advantages

• Abundant resource integration: Integrates abundant cloud resources and high-quality third-party services, providing Volcano Engine’s official cloud services such as MCP Server and databases, storage, and various third-party ecosystem tools, thereby providing customers with more production-usable and high-value tools and resources.
• Flexible Deployment Model: Offers both Local and Remote MCP service deployment modes, flexibly adapting to diverse application scenarios for enterprise clients.
• End-to-end application ecosystem integration: Leveraging ByteDance’s ecosystem resources, easily build end-to-end AI applications. Users can select the MCP service they need in the Ecosystem Plaza, combine the large model services provided by Volcano Ark, and quickly develop and build applications on platforms like Volcano Ark or platforms like Trae, which support the MCP protocol.

Usage Guidelines

1. View MCP Server Details

   At the Volcano Engine Large Model Ecosystem Plaza, choose the right MCP Server and view the details.

2. Select the platform where MCP Server will run soon

   Check which platforms MCP Server is currently compatible with and select the appropriate platform.

3. View and Compare Available Tools

   Carefully review the feature descriptions and required input parameters of available tools, and try running the corresponding features.

4. Get a Unique URL or Code Example

   Check account login status and service activation status, generate a unique URL or code example.

5. Go to MCP Client for installation and use

   Copy the URL or JSON, then go to the supported MCP Client to install and use MCP Server.

MCP Client Support List

• Volcano Ark: Currently, MCP services support Experience Centers and high-code applications
• Trae
• Cursor
• Python

MCP Server List

The MCP Server list is synchronized with the Volcano Engine Large Model Ecosystem Plaza.

Calculation

• ECS MCP: Natural language driver for resource management of cloud server instances and images.
• Cloud Assistant MCP: Natural language drivers send and execute custom commands to cloud server instances.

Storage