20 tagged benchmarking, measured the same way as everything else here.
Browse within: LLM 14compare-models 13deep-research 13
MCP server Claude CodeCodexCursor +2
Runtime evidence that helps agents trace, profile, and burn down hotspots in application and native code, GPU kernels, and inference stacks. Runs locally from the flameox Python package.
MCP server Claude CodeCodexCursor +2
LLM deployment optimizer (performance, cost, and safety) — backed by 204,000 real measurements on consumer GPUs. Runs locally from the chimeraforge Python package.
MCP server Claude CodeCodexCursor +2
Typed Python SDK and agent integrations for BotTrade historical-market benchmarks. Runs locally from the bottrade Python package.
MCP server Claude CodeCodexCursor +2
Check whether an AI answer is grounded in its context — deterministic, no LLM judge. Runs locally from the @pharmatools/opengate-mcp npm package.
MCP server Claude CodeCodexCursor +2
One of 12 in
A remote Chinese almanac service covering lunar-calendar dates, BaZi, daily 宜忌 recommendations, lucky-day selection, and public holidays. BaZi is a traditional Chinese system based on a person's birth date and time.
MCP server Claude CodeCodexCursor +2
Vendor-neutral local-LLM-inference benchmark and hardware-config advisor for omlx and llama.cpp -- measures real tokens/second on your own hardware, live. Runs locally from the inferbench-cli Python package.
MCP server Claude CodeCodexCursor +2
MCP server "mcp-cocktail" as configured in asavs/mcp-cocktail. Runs locally from the mcp-cocktail Python package.
jkelly-dev1/hardened-mcp-server
MCP server Claude CodeCodexCursor +2
MCP server "hardened-mcp-server" as configured in jkelly-dev1/hardened-mcp-server. Runs locally from the hardened-mcp-server Python package.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: