The algorate-mcp server provides tools for AI agents to benchmark and compare algorithm implementations. It exposes functions to run empirical tests, collect performance metrics, and generate comparison reports. It connects to various algorithm repositories and performance testing frameworks. Developers use it to evaluate algorithm efficiency, optimize code, and make data-driven decisions on algorithm selection.
The algorate-mcp server provides tools for AI agents to benchmark and compare algorithm implementations. It exposes functions to run empirical tests, collect performance metrics, and generate comparison reports. It connects to various algorithm repositories and performance testing frameworks. Developers use it to evaluate algorithm efficiency, optimize code, and make data-driven decisions on algorithm selection.
npx -y @cmiretf/algorate-mcpAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"cmiretf-algorate-mcp-npm": {
"command": "npx",
"args": [
"-y",
"npx -y @cmiretf/algorate-mcp"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from algorate-mcp?"
API Key Required
This server requires an API key from algorate-mcp. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| ALGORATE-MCP_API_KEY | Yes | Your algorate-mcp API key |
"What resources are available in algorate-mcp?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in algorate-mcp"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in algorate-mcp with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.