Codabench
MCP server for the Codabench REST API — drives a full ML-benchmark participant workflow.
What is Codabench?
Codabench is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for the codabench rest api — drives a full ml-benchmark participant workflow.
MCP server for the Codabench REST API — drives a full ML-benchmark participant workflow.
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- MCP server for the Codabench REST API — drives a full ML-ben
Use Cases
Maintainer
Works with
Installation
PIP
pip install codabench-mcpManual Installation
pip install codabench-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Codabench
What is Codabench?
Codabench is a Model Context Protocol (MCP) server that mcp server for the codabench rest api — drives a full ml-benchmark participant workflow. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Codabench?
Install via pip with: pip install codabench-mcp. Then configure your AI client to connect to this MCP server.
Which AI clients work with Codabench?
Codabench works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Codabench free to use?
Yes, Codabench is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up Codabench in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use Codabench?
Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.