Side-by-Side Model Context Protocol Comparison
Tokenlab MCP Server vs SandBase CLI
In-depth architectural comparison of the Tokenlab MCP Server and SandBase CLI MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Tokenlab MCP Server
Aggregators · Local stdio
Quality: 60/100 (Good) | Auth: API Key required
SandBase CLI
Aggregators · Local stdio
Quality: 67/100 (Great) | Auth: other
Verdict Summary: Choose Tokenlab MCP Server if you need specialized Aggregators tools running via a local process. Choose SandBase CLI if your workspace requires Aggregators integration with local subprocess execution. Both servers can be configured concurrently in your client's
mcpServers manifest.Which MCP Server Should You Choose?
Choose Tokenlab MCP Server when:
- You need dedicated capabilities in the Aggregators domain.
- You prefer local stdio subprocess transport architecture.
- Your security boundary fits: API Key required (Free / Open Source).
- Primary tools included: cancel_task, create_3d_model, create_anthropic_message.
S
Choose SandBase CLI when:
- You need dedicated capabilities in the Aggregators domain.
- You prefer local stdio subprocess transport architecture.
- Your security boundary fits: other (Free / Open Source).
- Primary tools included: sandbase_discover, sandbase_inspect, sandbase_run.
Feature & Specification Comparison
Tools & Capabilities Breakdown
Tokenlab MCP Server Tools (31)
cancel_task
Cancel async task Cancels a queued asynchronous task when cancellation is supported for the selected task. Cancellation currently supports queued Seedance video tasks (`seedance-1.5-pro`, `seedance-2.0`, and `seedance-2.0-fast`) while they are still waiting to run. Tasks that are already processing, completed, failed, expired, or unsupported are not cancelled.
create_3d_model
Create 3D model generation task Creates a 3D model generation task using Tripo3D. Returns a task ID for polling.
create_anthropic_message
Create message (Anthropic-compatible) Creates a model response using Anthropic's native request format. Supports Claude models with vision and streaming. **Authentication:** Use `x-api-key` header or `Authorization: Bearer` header.
create_chat_completion
Create an OpenAI-compatible chat completion. For inline image_url data URLs, declare the byte-accurate image MIME type. The MCP boundary corrects recognized PNG, JPEG, WebP, and GIF payloads declared as application/octet-stream and rejects unrecognized generic binary image payloads before sending a billable request.
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Tokenlab MCP Server Configuration
SandBase CLI Configuration
