chimeraforge
AI & Memory
Local
LLM deployment planner: given a model and a GPU, answers will it fit, will it hit your SLO, and what will it cost. Sizes VRAM and KV-cache from the model's real architecture, and labels every number measured, estimated, or unknown.
How to connect
1
Glama registry
View https://glama.ai/mcp/servers/m3gwg4yyzd for deploy options, or install from https://github.com/Sahil170595/Chimeraforge (see README for MCP config).
2
GitHub
Install from https://github.com/Sahil170595/Chimeraforge and add the server to your MCP client configuration (see repository README).
Tools
Tool names are not listed in our registry for this server. Connect it in your MCP client to see the live tool list.