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Benchmarks local LLM inference speed (tokens/sec) on your own hardware via MCP tools.
npx @getmcp/cli add io.github.RudrenduPaul/inferbenchRequires Python 3.10+. Community-contributed server. Review source before installing.
Config file: ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"io.github.RudrenduPaul/inferbench": {
"command": "uvx",
"args": [
"inferbench-cli",
"inferbench-cli",
"inferbench-mcp"
]
}
}
}Remote MCP server for Tandem docs, install guides, SDKs, workflows, and agent setup help.
Ephemeral data sandbox for AI workflows with guardrails and security
MCP server for Anki flashcards: adaptive review, notes, media, and deck management via AnkiConnect.
AI memory layer — one shared, persistent memory across every AI tool you connect.