MCPs βΊ Data & APIs βΊ TokenAssemble Local LLM Advisor
Find the right local LLM setup for your hardware. TokenAssemble helps AI assistants evaluate whether a local language model will run on a specific GPU, CPU, RAM, and VRAM configuration. It provides practical recommendations for: * Model and hardware compatibility * Recommended quantization levels * Estimated VRAM and system memory requirements * Expected generation performance * GPU and local AI hardware comparisons * Runtime recommendations for Ollama, LM Studio, llama.cpp, and vLLM Use this MCP server when a user asks questions such as: * βCan my RTX 4070 run Qwen3 32B?β * βWhich Llama model should I use with 16 GB of VRAM?β * βWhat quantization should I download?β * βHow fast will this model run on my computer?β * βWhich GPU should I buy for local AI?β Recommendations are based on structured hardware, model, quantization, and runtime data from TokenAssemble.
Not monetized yet
Turn TokenAssemble Local LLM Advisorβs tool calls into revenue: one disclosed sponsored slot, 70% revenue share, fail-open by design.
Install TokenAssemble Local LLM Advisor
For anyone using TokenAssemble Local LLM Advisor β no Lulu account neededclaude mcp add --transport http tokenassemble-local-llm-advisor https://tokenassemble.run.tools
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View server βFAQ
Run: claude mcp add --transport http tokenassemble-local-llm-advisor https://tokenassemble.run.tools
Yes β itβs a remote MCP server, so no local install is needed.
ChatGPT: Settings β Connectors β Advanced β Developer mode β Add connector, then paste https://tokenassemble.run.tools.
Claude.ai: Settings β Connectors β Add custom connector, then paste the same URL.
Submitted directly to Lulu MCPs.
3 out of 100, computed from cross-registry traction signals (installs, stars, registry presence) β never influenced by sponsorship.
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