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  1. Home
  2. πŸ’¬ Communication
  3. Famulor
F
Health: Not checked yetWe have not completed a health check for this listing yet.Last checked 8/10/2026, 11:43:18 PM

Famulor

Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View RepositoryVisit Website

AI voice agents: assistants, calls, campaigns, leads, knowledge bases, WhatsApp, SMS & SIP trunks.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Install Config Generator

Choose your client
claude_desktop_config.json
{
  "mcpServers": {
    "famulor": {
      "command": "npx",
      "args": [
        "-y",
        "famulor"
      ]
    }
  }
}

πŸ’‘ Paste into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows)

Install Directory Badge Claim listing AlternativesπŸ’¬ More in Communication

Documentation Overview

Famulor

Famulor MCP

Control your Famulor AI voice agents β€” calls, leads, campaigns, knowledge bases, conversations, WhatsApp, SIP trunks β€” directly from Claude, Cursor, Windsurf, VS Code and any other MCP-compatible client.

mcp.famulor.io Β· Get an API key Β· Docs

GitHub Famulor MCP Vercel MIT

Famulor AI voice agents


Setup

Add the server in your editor, then sign in with your Famulor API key when prompted in the browser.

Server URL: https://mcp.famulor.io/mcp is the canonical endpoint. Both https://mcp.famulor.io/ and https://mcp.famulor.io/mcp work as MCP URLs, so you can paste either into your client's connector dialog.

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

Add the server first β€” authenticate via your API key when prompted.

Claude Desktop

Settings > Connectors > Add custom connector

Code
https://mcp.famulor.io/mcp

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

Cursor

.cursor/mcp.json

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

Add the server first β€” authenticate via your API key when prompted.

Windsurf

~/.codeium/windsurf/mcp_config.json

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

Add the server first β€” authenticate via your API key when prompted.

VS Code

.vscode/mcp.json

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

Add the server first β€” authenticate via your API key when prompted.

Cline

Cline extension > MCP Servers > Configure

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

Add the server first β€” authenticate via your API key when prompted.

Continue

~/.continue/config.yaml

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

Add the server first β€” authenticate via your API key when prompted.

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

Or in ~/.openclaw/openclaw.json:

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

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

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

Or in ~/.hermes/config.yaml:

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

Apply in-session with /reload-mcp.

npx (stdio, any MCP client)

Run the server locally via npm β€” no hosted endpoint needed. Uses your Famulor API key directly:

config.json
{
  "mcpServers": {
    "famulor": {
      "command": "npx",
      "args": ["-y", "famulor-mcp"],
      "env": { "FAMULOR_API_KEY": "your-api-key" }
    }
  }
}
Zed

~/.config/zed/settings.json

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

Add the server first β€” authenticate via your API key when prompted.


What you can do

Once connected, your AI assistant can call any of the 66 tools spanning the full Famulor API. A non-exhaustive tour:

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

Calls β€” make outbound calls Β· list / get / delete call records

Campaigns β€” create campaigns, manage retry rules and allowed-hours windows Β· start, stop and delete

Leads β€” add leads (incl. secondary contacts) Β· update status and merge variables Β· delete

Knowledge bases β€” create knowledge bases Β· upload website-scraped documents Β· update / delete

Phone numbers β€” search by country and dial pattern Β· purchase Β· release Β· SIP trunk CRUD

Conversations β€” list, read and reply to chat conversations Β· enable/disable AI per conversation for human takeover

WhatsApp β€” list senders and templates Β· check 24h session window Β· send template or freeform messages

SMS β€” send via your purchased numbers

Mid-call tools β€” register custom HTTP integrations the assistant can call mid-conversation

AI Replies β€” generate context-aware replies for external chat platforms

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 server speaks the standard MCP OAuth 2.1 flow (RFC 8414 metadata, RFC 7591 Dynamic Client Registration, PKCE S256). Your MCP client opens a browser tab, you paste your Famulor API key, and the client receives an access token that the server encrypts with AES-256-GCM. Your API key never lands in any database β€” it lives only inside the token your client stores.

Tokens expire after 30 days; your client simply re-prompts.


Self-hosting

The hosted server at https://mcp.famulor.io works out of the box, but you can run your own if you prefer.

Deploy to Vercel

bash
git clone https://github.com/bekservice/Famulor-MCP.git
cd Famulor-MCP
vercel --prod

Set these env vars in the Vercel project:

VariableRequiredValue
MCP_SECRETyesopenssl rand -hex 32 β€” encrypts OAuth tokens.
MCP_ISSUERrec.Your public URL, e.g. https://mcp.example.com.

Then point your domain at the deployment and you're live. See DEPLOYMENT.md for the full guide including stdio mode for power users.

Local dev

Terminal
npm install
echo "MCP_SECRET=$(openssl rand -hex 32)" > .env
npm run dev:http
# server on http://localhost:8787
bash
# health
curl http://localhost:8787/health

# OAuth metadata
curl http://localhost:8787/.well-known/oauth-authorization-server

License

MIT

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Frequently Asked Questions about Famulor

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "famulor": { "command": "npx", "args": ["-y", "Famulor"] } }

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Technical Specs & Signals

CategoryπŸ’¬Communication
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
0/4 checks healthy over the last 6h
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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