shelfmark
Search & Web
Local
Shelfmark is an MCP server that builds a local metadata catalogue of your documents, enabling AI agents to discover, search, and select relevant files without opening or indexing their contents. It provides governed access with ownership and confidentiality controls, ensuring agents only see what they are permitted to.
How to connect
1
Glama registry
View https://glama.ai/mcp/servers/y66wxpf72t for deploy options, or install from https://github.com/Dankaro-projects/shelfmark (see README for MCP config).
2
GitHub
Install from https://github.com/Dankaro-projects/shelfmark 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.