This MCP server provides a simple yet powerful way for AI agents to maintain state and context across multiple conversations or when working with
This MCP server provides a simple yet powerful way for AI agents to maintain state and context across multiple conversations or when working with complex tasks that
A Model Context Protocol (MCP) server that enables AI agents to store and retrieve temporary information across conversations and contexts.
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| clear_note | |
| write_note | |
| read_note | |
| append_note | Appends new text to the current note, starting with a new line. Optionally includes a separator line. |
{
"mcpServers": {
"temp-notes": {
"command": "npx",
"args": ["-y", "@landicefu/temp-notes-mcp-server"],
"disabled": false
}
}
}Configuration as documented by the project. Restart the client after saving.
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Search and read your Drive — Docs, Sheets and files become context your assistant can actually use.
Query, modify and analyse local SQLite databases in conversation — the fastest way to chat with a data file.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Chat with your second brain — search, read and write vault notes through the Local REST API.
Manage Proxmox hypervisors through a Model Context Protocol server, providing a clean interface for nodes, VMs, and containers.