by bekservice
Famulor — Voice agent platform for automated phone calls: configure assistants, manage campaigns, send SMS, and run mid-
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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.
NOASSERTION
Famulor is released under the NOASSERTION license.
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
Share your MCP server with the developer community
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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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.jsonPrerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
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.