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Process multimodal content and GUI automation locally with strong privacy and efficiency.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "local-mmcp" yet — see the docs or source repo.
Process this meeting audio and attached PDF locally, extract key decisions, action items, and owners, then organize them into an English summary table.
A structured summary with key points, action items, owners, and deadlines.
Identify the form fields and buttons on the current desktop UI, fill in the information, click submit, and return the execution result with screenshots.
Execution logs, key step screenshots, and the final automation result.
Analyze this product demo video and related images locally, identify the main scenes, interface elements, and user flow, then generate a summary.
A breakdown of scenes, descriptions of interface elements, and an overview of the user flow.
Let AI read, write, search files, and run local commands.
Securely let AI read, search, and edit local files with local LLMs.
Delegate summarization, classification, extraction, and drafting tasks to a local LLM.
Run Llama models locally for private, offline AI assistance.
Let AI call localhost APIs for local development, testing, and debugging.
Provides localization data for 174 locales to create culturally adapted multilingual content.