ChatterLab
Set up and improve AI chatbot agents: sources, test answers, weak answers, clients. Studio and up.
Install ChatterLab in your MCP client
ChatterLab is a Model Context Protocol server. Add it to your MCP client config once, restart, and the server's tools become available to your AI assistant. The same JSON snippet below works across all four major clients — only the config file path differs.
- Locate your client's MCP config file.
- Cursor:
~/.cursor/mcp.json - Claude Desktop (macOS):
~/Library/Application Support/Claude/claude_desktop_config.json - Claude Desktop (Windows):
%APPDATA%\Claude\claude_desktop_config.json - VS Code:
Settings → Extensions → MCP - Windsurf:
Settings → MCP Servers
- Cursor:
- Add ChatterLab to the mcpServers map — paste the snippet below into your config file. If you already have other MCP servers, merge the entry into the existing
mcpServersobject. - Restart your client so it picks up the new server.
- Verify — ask the assistant to list available tools; ChatterLab's tools should appear.
{
"mcpServers": {
"chatterlab": {
"command": "npx",
"args": [
"-y",
"@chatterlab/mcp-server"
],
"note": "Replace with the actual package name from the server's documentation."
}
}
}Install ChatterLab in Cursor
Open ~/.cursor/mcp.json in your editor, paste the snippet above into mcpServers, save, and restart Cursor. ChatterLab will show up in the assistant's tool list on next launch.
Install ChatterLab in Claude Desktop (macOS)
Open ~/Library/Application Support/Claude/claude_desktop_config.json in your editor, paste the snippet above into mcpServers, save, and restart Claude Desktop (macOS). ChatterLab will show up in the assistant's tool list on next launch.
Install ChatterLab in Claude Desktop (Windows)
Open %APPDATA%\Claude\claude_desktop_config.json in your editor, paste the snippet above into mcpServers, save, and restart Claude Desktop (Windows). ChatterLab will show up in the assistant's tool list on next launch.
Install ChatterLab in VS Code
Open Settings → Extensions → MCP in your editor, paste the snippet above into mcpServers, save, and restart VS Code. ChatterLab will show up in the assistant's tool list on next launch.
Transport
ChatterLab supports the following MCP transports. Most AI clients use stdio by default for locally-installed servers.
More build.protocol_tooling.mcp MCP servers
Other Model Context Protocol servers in the same space as ChatterLab. Each one adds different capabilities to your AI assistant — pick based on the data sources or workflows you need.
MAQAMI Travel
Search hotels (3M+ hotels) and flights worldwide, read hotel details, then prebook and book. Remote Streamable HTTP, no API key.
Libelus
Andamento de processos pelo número CNJ, prazos, CPF/CNPJ e jurisprudência (planos).
Circuit Sim Lab (電路模擬實驗室)
PCB calculators: trace impedance, crosstalk, diff skew, crystal load cap, Vout tolerance, inrush.
Docspeed
Extract, ask, compare, and parse PDFs and images with source evidence.
Directories.ai
Build and run directory websites from your own AI: listings, imports, claims, SEO and content.
ContentSweep Supplier Feeds
Map and validate recurring flat supplier catalogs with approved profiles and drift checks.
Blawgy
Research keywords, plan, write, update and publish SEO blog posts to WordPress, Shopify, Webflow, Wix, Framer, Ghost and Duda from any agent. OAuth 2.1 or API key.
iPadian
Create and preview self-contained web apps in iPhone, Duo, iPad, or Headless views. Seven starter tools and games, browser-local app code saving, and HTML export. Free remote MCP server; no API key. Interactive rendering requires MCP Apps support. Setup and manual Claude/Codex downloads: https://os.ipadian.net/plugin/
Browse the full MCP server directory or use Stork's one-line install to let your agent pick the right server automatically.
