MCP Service Management

Depends on CC Sandbox: Yes

Must be bound to a workspace: Yes

MCP (Model Context Protocol) lets AI capabilities go beyond conversation boundaries.

Through the MCP protocol, you can connect your workspace to a wide range of external tools and data sources — database queries, API calls, monitoring systems, project management platforms, search engines, and more. The AI is no longer limited to text conversations; it can directly operate real tools and services.

MCP services run inside the Claude Code Sandbox, so the CC Sandbox must be enabled first.

What MCP Can Do

MCP is an open protocol, and the community already has a large number of ready-to-use MCP services. Here are some typical scenarios:

Scenario	MCP Service Examples	What the AI Can Do
Search	Brave Search, Google Search	Search the internet in real time for the latest information
Code Management	GitHub, GitLab	Create PRs, manage Issues, view repositories
Database	PostgreSQL, MySQL, SQLite	Query and operate databases directly
File Storage	S3, Google Drive	Read and write cloud files
Monitoring	Datadog, Sentry	View monitoring metrics and error logs
Communication	Slack, Discord	Send messages and retrieve channel information
Knowledge Management	Notion, Confluence	Read and update documents
Task Management	Linear, Jira	Manage project tasks and boards

This is just the tip of the iceberg. Any service that supports the MCP protocol can be connected.

Why Manage by Workspace

Different workspaces serve different purposes and require different tools:

• Development workspace: GitHub + PostgreSQL + Sentry
• Operations workspace: Datadog + server management tools
• Content workspace: Notion + Google Search + image generation

Managing MCP services by workspace allows you to:

• Precisely control the scope of capabilities: Each workspace loads only the tools it needs
• Avoid interference: Irrelevant tools won't appear in the AI's available list
• Independent configuration: Different workspaces can connect to different data source instances

Prerequisites

Before using MCP services, confirm that the following preparations are complete:

1. A workspace has been created and a channel is bound
2. The workspace has an available CC Model Group configured
3. The Claude Code Sandbox is started and running normally

Supported Transport Types

MCP services support three connection methods:

Type	Use Case	Configuration
stdio	Most common; based on local command-line processes	Specify command and arguments
SSE	Remote services; based on Server-Sent Events	Specify URL
HTTP	Remote services; based on Streamable HTTP	Specify URL

Most community MCP services use the stdio type, launched via npx or uvx.

Configuration Steps

1. Access the MCP Management Page

Find the MCP service management area in the workspace detail page.

2. Add an MCP Service

Fill in the configuration based on the transport type:

stdio type (local command):

• Service name
• Startup command (e.g., npx)
• Command arguments (e.g., ["-y", "@modelcontextprotocol/server-github"])
• Environment variables (e.g., {"GITHUB_TOKEN": "ghp_xxx"})

SSE / HTTP type (remote service):

• Service name
• Service URL
• Request headers (e.g., authentication information)

3. Save and Sync

Save after configuration. MCP services are automatically loaded when the CC Sandbox starts.

If you modify MCP configuration while the sandbox is running, you need to sync or restart the sandbox for changes to take effect.

Usage Tips

• Add as needed: You don't need to configure all tools at once; add them when you encounter a need
• Pay attention to authentication: MCP services usually require authentication such as API tokens, passed via environment variables
• Verify connections: After adding, have the AI call the new tool in conversation to confirm the configuration is correct
• Follow the community: The MCP protocol ecosystem is growing rapidly; regularly checking newly released MCP services can bring more capabilities to the AI

Related Documentation

• Claude Code Sandbox — MCP runs inside the CC Sandbox
• Workspace Overview
• Quick Start