Codabench MCP runs on your own machine — the client starts it, so there is no endpoint to ping. 75 installs a week from pypi. Last commit 23 Apr 2026.
MCP server for the Codabench REST API — drives a full ML-benchmark participant workflow.
Today is the operative word: we check Codabench MCP every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add codabench-mcp -- uvx codabench-mcp
{
"mcpServers": {
"codabench-mcp": {
"args": [
"codabench-mcp"
],
"command": "uvx"
}
}
}
[mcp_servers.codabench-mcp]
command = "uvx"
args = ["codabench-mcp"]
{
"mcpServers": {
"codabench-mcp": {
"args": [
"codabench-mcp"
],
"command": "uvx"
}
}
}
{
"mcpServers": {
"codabench-mcp": {
"args": [
"codabench-mcp"
],
"command": "uvx"
}
}
}
This one needs environment variables set before it will start:
CODABENCH_API_TOKEN (DRF token for Codabench. Obtain via https://www.codabench.org/api/docs/ > api-token-auth > Try it out.).
The author declared them in the registry entry; get the values from the project itself.
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Answers built from our own checks of this server.