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Enable AI to read, write, search, and manage resources in Solid pods.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "solid-mcp" yet — see the docs or source repo.
Connect to my Solid pod, search for documents containing the keyword "user interview," and list the titles, paths, and summaries sorted by last updated time.
A list of matching documents with titles, resource paths, last updated times, and short summaries.
Turn this meeting transcript into structured research notes and save it to /notes/research/2025-meeting-summary.md in my Solid pod, with sections for conclusions, action items, and risks.
Structured note content generated and successfully written to the specified pod path.
Inspect files in /archive/ of my Solid pod that have not been accessed in the past year, group them by type, suggest which to archive or delete, and move them to /cold-storage/ after my confirmation.
An inventory with cleanup recommendations, followed by bulk move actions after confirmation.
Connect to the mcp API via MCP to extend AI tool capabilities.
Discover and choose MCP servers for different AI integration needs.
Use one MCP server for filesystem, database, web, and system operations.
Find and evaluate curated MCP servers for different AI workflow needs.
Build, debug, and manage software tasks with natural language across LLMs.
Secure file and directory operations for autonomous AI development workflows.