This folder contains practical examples for the **"Beyond the Basics: Unlocking the Power of MCP"** presentation at the 10x Developers Meetup.
If you want an AI assistant working directly with MCP Talk, the mcp talk mcp server is the bridge. This folder contains practical examples for the "Beyond the Basics: Unlocking the Power of MCP" presentation at the 10x Developers Meetup.
This folder contains practical examples for the "Beyond the Basics: Unlocking the Power of MCP" presentation at the 10x Developers Meetup.
Once connected, the assistant can call these 3 tools directly:
Tools — CPU usage, memory info, disk usage, processes, networkResources — System overview, platform informationProduction — ready streaming implementationThe server is distributed via npm as @modelcontextprotocol/server-filesystem, so most clients can run it without a manual build step. Add it to your MCP client's configuration and restart the client to pick it up — the copy-paste configs for Claude Desktop, Claude Code and Cursor are on this page.
Knowledge and memory servers address the most frustrating trait of language models — walking into every conversation with no recollection of the last one. MCP Talk sits in that group, and the shape of its toolset — Tools, Resources, Production — tells you what it is really for. Worth comparing against the other knowledge memory servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.
| Tool | What it does |
|---|---|
| Tools | CPU usage, memory info, disk usage, processes, network |
| Resources | System overview, platform information |
| Production | ready streaming implementation |
{
"mcpServers": {
"talk": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-filesystem"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Scoped local file access — read, write, search and reorganise files in directories you explicitly allow.
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.
Connects AI models to an Obsidian knowledge base for direct access and manipulation of notes and folders.