Famulor — Voice agent platform for automated phone calls: configure assistants, manage campaigns, send SMS, and run mid-
Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Chrome MCP
Chrome extension-based MCP server that exposes browser functionality to AI assistants. Control tabs, capture screenshots
MCP Aggregator
A centralized gateway for managing multiple MCP server connections. Instead of configuring each MCP server individually
Gmail
MCP server for Gmail — enables Claude to interact with Gmail data and workflows.
Mastra Docs
Mastra Docs: AI assistants with direct access to Mastra.ai’s full knowledge base for faster, smarter support and insight
Chrome DevTools MCP
AI-driven control of live Chrome via Chrome DevTools: browser automation, debugging, performance analysis and network mo
Famulor is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
I recommend Famulor for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Famulor is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Famulor has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Famulor is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Famulor reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Famulor is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Useful MCP listing: Famulor is the kind of server we cite when onboarding engineers to host + tool permissions.
We evaluated Famulor against two servers with overlapping tools; this profile had the clearer scope statement.
We evaluated Famulor against two servers with overlapping tools; this profile had the clearer scope statement.
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Select a client to integrate this server.
Claude Desktop configuration
{
"mcpServers": {
"famulor": {
"url": "https://mcp.famulor.io/sse",
"env": {
"FAMULOR_API_KEY": "your-api-key-here"
},
"headers": null
}
}
}Voice agent platform that enables AI-powered phone calls through ChatGPT and other MCP clients. Make calls, manage voice assistants, and retrieve call transcripts and recordings.
Famulor is a community-built MCP server published by bekservice that provides AI assistants with tools and capabilities via the Model Context Protocol. Famulor — Voice agent platform for automated phone calls: configure assistants, manage campaigns, send SMS, and run mid- It is categorized under communication, developer tools.
You can install Famulor in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.
An MCP (Model Context Protocol) server for the Famulor Voice Agent Platform that enables AI-powered phone calls, assistant management, and call data retrieval through ChatGPT and other MCP-compatible clients.

https://www.youtube.com/watch?v=OMQeTiBNW3Q
This MCP server provides access to the Famulor Voice Agent Platform, allowing users to make AI-powered phone calls, manage voice assistants, and retrieve call transcripts and recordings - all directly from any MCP-compatible client like ChatGPT Desktop, Claude Desktop, or other MCP-compatible applications.
You can use the hosted MCP server without local installation:
The server is ready to use! For online usage instructions, see the Online Deployment Guide.
Note: If you want to run your own local server (Option 2), you'll also need:
The easiest way to get started! Use our hosted MCP server at https://mcp.famulor.io.
See the Client-Specific Installation section below for detailed instructions for your MCP client (Cursor, Claude Desktop, ChatGPT Desktop, etc.).
Quick Example Configuration:
{
"mcpServers": {
"famulor": {
"url": "https://mcp.famulor.io/sse",
"env": {
"FAMULOR_API_KEY": "your-api-key-here"
}
}
}
}
In your MCP client (ChatGPT, Claude, etc.), try asking:
If you prefer to run the server locally:
git clone https://github.com/bekservice/Famulor-MCP.git
cd Famulor-MCP
npm install
npm run build
Create or edit the MCP configuration file for your platform and client. See the Client-Specific Installation section below for detailed instructions.
Example Configuration:
{
"mcpServers": {
"famulor": {
"command": "node",
"args": [
"/absolute/path/to/Famulor-MCP/dist/index.js"
],
"env": {
"FAMULOR_API_KEY": "your-api-key-here"
}
}
}
}
Important:
/absolute/path/to/Famulor-MCP with the actual absolute path to your cloned repositoryyour-api-key-here with your actual Famulor API keyExample paths:
/Users/username/Famulor-MCP/dist/index.jsC:/Users/username/Famulor-MCP/dist/index.js or C:\Users\username\Famulor-MCP\dist\index.js/home/username/Famulor-MCP/dist/index.jsIn your MCP client (ChatGPT, Claude, etc.), try asking:
Choose your MCP client below for specific installation instructions:
Important: Claude Desktop currently only supports local command-based MCP server configurations. HTTP/URL-based configurations are not supported, even in the latest version.
Find your configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json~/.config/Claude/claude_desktop_config.jsonAdd the MCP server configuration:
Open the configuration file and add the following to the mcpServers section:
{
"mcpServers": {
"famulor": {
"command": "node",
"args": [
"/absolute/path/to/Famulor-MCP/dist/index.js"
],
"env": {
"FAMULOR_API_KEY": "your-api-key-here"
}
}
}
}
Important:
/absolute/path/to/Famulor-MCP with your actual absolute path to the repositoryyour-api-key-here with your actual Famulor API keynpm run buildRestart Claude Desktop completely for the changes to take effect.
Global Installation (Recommended):
Go to Cursor Settings > Tools & Integrations
Click "New MCP Server"
This will open ~/.cursor/mcp.json
Add the following configuration:
{
"mcpServers": {
"famulor": {
"type": "http",
"url": "https://mcp.famulor.io/sse",
"headers": {
"Authorization": "Bearer your-api-key-here"
}
}
}
}
Important:
your-api-key-here with your actual Famulor API keyBearer in the Authorization headerGo back to Settings > MCP and click the refresh button
The Cursor agent will now be able to use the Famulor MCP tools
Project-Specific Installation:
.cursor/mcp.json in your project rootGlobal Installation (Recommended):
Go to Cursor Settings > Tools & Integrations
Click "New MCP Server"
This will open ~/.cursor/mcp.json
Add the following configuration:
{
"mcpServers": {
"famulor": {
"command": "node",
"args": [
"/absolute/path/to/Famulor-MCP/dist/index.js"
],
"env": {
"FAMULOR_API_KEY": "your-api-key-here"
}
}
}
}
Go back to Settings > MCP and click the refresh button
The Cursor agent will now be able to use the Famulor MCP tools
Project-Specific Installation:
.cursor/mcp.json in your project rootTo add the online MCP server to Claude Code, run this command in your terminal:
claude mcp add-json "famulor" '{"type":"http","url":"https://mcp.famulor.io/sse","headers":{"Authorization":"Bearer your-api-key-here"}}'
Note:
your-api-key-here with your actual Famulor API keyBearer in the Authorization headerTo add your local MCP server to Claude Code, run this command in your terminal:
claude mcp add-json "famulor" '{"command":"node","args":["/absolute/path/to/Famulor-MCP/dist/index.js"],"env":{"FAMULOR_API_KEY":"your-api-key-here"}}'
Note: Replace /absolute/path/to/Famulor-MCP/dist/index.js with your actual path and your-api-key-here with your actual API key.
See the official Claude Code MCP documentation for more details.
~/Library/Application Support/ChatGPT/mcp.json%APPDATA%\ChatGPT\mcp.json or C:\Users\YourUsername\AppData\Roaming\ChatGPT\mcp.jsonSteps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
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