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Famulor

Famulor

Remote
famulor.ioCommunication1Updated 3w ago

About Famulor

Famulor MCP connects MCP clients to the Famulor platform for teams managing voice agents, calls, and business operations. Its tool catalog spans campaigns, knowledge bases, messaging, automations, and telephony.

Key features

  1. 01Manage voice agents, models, and voices
  2. 02Review call history and place calls
  3. 03Manage campaigns, contacts, and audiences
  4. 04Create and maintain knowledge bases
  5. 05Handle messaging and email workflows
  6. 06Manage automations, telephony, and workspaces

Use cases

  1. 01Create a voice sales agent with a selected model and voice
  2. 02Find call records where the goal was not reached
  3. 03Start a campaign and add leads
  4. 04Handle conversations through WhatsApp or other channels

MCP support

This remote MCP server runs on the Famulor platform and exposes its platform tool catalog to AI clients. Clients authorize workspace access through browser-based OAuth; server-to-server clients can also use an API key.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://app.famulor.io/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

Famulor

Famulor MCP

Connect Claude, Codex, Cursor, VS Code, and other MCP clients to the complete tenant-safe Famulor platform API.

MCP endpoint · API & MCP settings · Docs

GitHub Famulor MCP MIT

Famulor AI voice agents


Setup

Add the server in your client, then sign in to Famulor and approve the requested workspace permissions in the browser. Claude and ChatGPT use OAuth; there is no API key to paste into their connector settings.

Server URL: https://app.famulor.io/mcp. It runs inside the Famulor platform, so there is nothing to install or host. Your plan needs the Connect AI / MCP feature; without it the endpoint answers 403.

Claude Code
claude mcp add --transport http famulor https://app.famulor.io/mcp

Add the server first, then complete the browser-based OAuth flow.

Claude Desktop

Settings > Connectors > Add custom connector

https://app.famulor.io/mcp

Copy the URL, paste it into the connector dialog, and sign in when prompted.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "famulor": {
      "type": "http",
      "url": "https://app.famulor.io/mcp"
    }
  }
}

Add the server first, then complete the browser-based OAuth flow.

Windsurf

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "famulor": {
      "serverUrl": "https://app.famulor.io/mcp"
    }
  }
}

Add the server first, then complete the browser-based OAuth flow.

VS Code

.vscode/mcp.json

{
  "servers": {
    "famulor": {
      "type": "http",
      "url": "https://app.famulor.io/mcp"
    }
  }
}

Add the server first, then complete the browser-based OAuth flow.

Cline

Cline extension > MCP Servers > Configure

{
  "mcpServers": {
    "famulor": {
      "url": "https://app.famulor.io/mcp"
    }
  }
}

Add the server first, then complete the browser-based OAuth flow.

Continue

~/.continue/config.yaml

mcpServers:
  - name: famulor
    type: streamable-http
    url: "https://app.famulor.io/mcp"

Add the server first, then complete the browser-based OAuth flow.

OpenClaw
openclaw mcp add famulor --url https://app.famulor.io/mcp --transport streamable-http --auth oauth
openclaw mcp login famulor

Or in ~/.openclaw/openclaw.json:

{
  "mcp": {
    "servers": {
      "famulor": {
        "url": "https://app.famulor.io/mcp",
        "transport": "streamable-http",
        "auth": "oauth"
      }
    }
  }
}

Tip: there is also a ready-made Famulor skill — openclaw skills install famulor-skill.

Hermes Agent
hermes mcp add famulor --url https://app.famulor.io/mcp
hermes mcp login famulor

Or in ~/.hermes/config.yaml:

mcp_servers:
  famulor:
    url: "https://app.famulor.io/mcp"
    auth: oauth

Apply in-session with /reload-mcp.

Zed

~/.config/zed/settings.json

{
  "context_servers": {
    "famulor": {
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://app.famulor.io/mcp"
      ],
      "command": "npx"
    }
  }
}

Add the server first, then complete the browser-based OAuth flow.


What you can do

Once connected, your AI assistant discovers the current public tool catalog directly from Famulor. The catalog covers, among other areas:

Assistants — create, update, delete AI voice agents · list voices, languages, LLM/multimodal models, TTS/STT providers · toggle inbound and conversation-ended webhooks

History & calls — inspect cross-channel history and transcripts · make and manage calls

Campaigns — create campaigns, manage retry rules and allowed-hours windows · start, stop and delete

Audience — manage contacts, tags, segments, suppression and campaign membership

Knowledge bases — create knowledge bases · upload website-scraped documents · update / delete

Telephony — phone numbers, number verification, assignments and SIP trunks

Messaging & email — WhatsApp, Instagram, Messenger, Telegram, Slack, Teams, Discord, Google Chat, X, helpdesk and email conversation workflows

WhatsApp — list senders and templates · check 24h session window · send template or freeform messages

Automations & operations — flows, routines, dashboards, integrations, webhooks, booking, workspace settings and account administration

Ask the assistant in plain English, e.g. "Create a German sales assistant using GPT-4.1-mini and the Susi voice", "Start campaign #42 and add these 50 leads", "Show me all calls today where the goal wasn't reached."


How auth works

The endpoint implements MCP OAuth discovery, authorization code with PKCE, dynamic client registration and Client ID Metadata Documents. Your MCP client opens Famulor in a browser, where you sign in on app.famulor.io, choose a workspace and approve the requested permissions.

Server-to-server clients can send an API key instead: create one under Settings > API & MCP on app.famulor.io and pass it as Authorization: Bearer fam_…. Claude and ChatGPT connectors always use OAuth.

Full tool catalog and scopes: docs.famulor.io/mcp/tools-and-scopes


Famulor 1.0 (app.famulor.de)

This MCP server works with workspaces on the Famulor platform at app.famulor.io. Famulor 1.0 (app.famulor.de) stays available; to bring assistants, tools, knowledge, campaigns, automations and your own telephony over, use Migrate from Famulor 1.0.


What is in this repository

The server itself runs inside the Famulor platform. This repository holds what clients and directories need to find it:

FilePurpose
mcp.json, .plugin/plugin.jsonClient and plugin configuration pointing at https://app.famulor.io/mcp
server.jsonEntry in the official MCP Registry (io.famulor/famulor-mcp, remote only)
glama.jsonGlama ownership claim
SUBMISSIONS.md, submissions/, chatgpt-app-submission.jsonDirectory submission material
assets/Logos

The earlier self-hosted server and its npm package famulor-mcp are retired.


License

MIT

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.