MCP server for the Codabench REST API — drives a full ML-benchmark participant workflow.
Connect Runs on your machine
claude mcp add codabench-mcp -e CODABENCH_API_TOKEN=<CODABENCH_API_TOKEN> -- uvx codabench-mcp==0.1.1
{
"mcpServers": {
"codabench-mcp": {
"command": "uvx",
"args": [
"codabench-mcp==0.1.1"
],
"env": {
"CODABENCH_API_TOKEN": "<CODABENCH_API_TOKEN>"
}
}
}
}
{
"mcpServers": {
"codabench-mcp": {
"command": "uvx",
"args": [
"codabench-mcp==0.1.1"
],
"env": {
"CODABENCH_API_TOKEN": "<CODABENCH_API_TOKEN>"
}
}
}
}
{
"servers": {
"codabench-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"codabench-mcp==0.1.1"
],
"env": {
"CODABENCH_API_TOKEN": "<CODABENCH_API_TOKEN>"
}
}
}
}
Replace the values in angle brackets with your own. Keys stay on your machine; we never see them.
Tools
This server runs locally, so its tools are listed by your MCP client once it starts.
Environment variables
| Name | Description |
|---|---|
CODABENCH_API_TOKENRequired, secret | DRF token for Codabench. Obtain via https://www.codabench.org/api/docs/ > api-token-auth > Try it out. |
Details
| Package | [email protected] (PYPI, stdio) |
| First published | 23 Apr 2026 |
| Last updated | 23 Apr 2026 |
| Registry name | io.github.harshitAgr/codabench-mcp |
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