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Enable persistent two-way chats between LLMs and diffusion language models.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "llama-diffusion-mcp" yet — see the docs or source repo.
Using llama-diffusion-mcp, start a persistent session and let Claude and DiffusionGemma have a 5-turn bidirectional conversation on 'comparing reasoning traits of autoregressive and diffusion language models', then output a summary of both sides for each turn.
A bridged cross-model conversation log with a summary for each turn.
My previous llama-diffusion-cli conversation process was interrupted. Please use llama-diffusion-mcp to reconnect or restart the session, restore the default configuration, and verify whether messages can still be sent to LLaDA.
Session recovery status, current configuration details, and the result of a successful test message.
Use llama-diffusion-mcp to create a new session with custom llama-diffusion-cli configuration parameters for chatting with DiffusionGemma; then send the message 'Please explain your sampling mechanism' and show the configuration used.
The new session creation result, the applied configuration parameters, and the model's reply to the question.
Connect Claude Code to local llama.cpp for low-cost local LLM testing.
Offload non-critical LLM tasks to your own model and save premium quota.
Enable Claude to generate images through a local MCP server.
Offload non-critical LLM tasks to your own model to save premium quota.
Manage deals, briefs, timelines, and posts on Llama Ventures via MCP agents.
Delegate low-risk tasks to a cheaper model with main-agent review.