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\n $\"Famulor\"$ \n

\n\n

Famulor MCP

\n\n

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

\n\n

\n mcp.famulor.io ·\n Get an API key ·\n Docs\n

\n\n

\n \n $\"GitHub\"$ \n \n \n $\"Famulor\"$ \n \n \n $\"MCP\"$ \n \n \n $\"Vercel\"$ \n \n \n $\"MIT\"$ \n \n

\n\n

\n $\"Famulor$ \n

\n\n---\n\n## Setup\n\nAdd the server in your editor, then sign in with your\n[Famulor API key](https://app.famulor.de/api-keys) when prompted in the browser.\n\n> **Server URL**: `https://mcp.famulor.io/mcp` is the canonical endpoint.\n> Both `https://mcp.famulor.io/` and `https://mcp.famulor.io/mcp` work as MCP\n> URLs, so you can paste either into your client's connector dialog.\n\n

Claude Code

\n\n```bash\nclaude mcp add --transport http famulor https://mcp.famulor.io/mcp\n```\n\nAdd the server first — authenticate via your [API key](https://app.famulor.de/api-keys) when prompted.\n

\n\n

Claude Desktop

\n\n**Settings > Connectors > Add custom connector**\n\n```\nhttps://mcp.famulor.io/mcp\n```\n\nCopy the URL, paste it into the connector dialog, and sign in when prompted.\n

\n\n

Cursor

\n\n`.cursor/mcp.json`\n\n```json\n{\n \"mcpServers\": {\n \"famulor\": {\n \"type\": \"http\",\n \"url\": \"https://mcp.famulor.io/mcp\"\n }\n }\n}\n```\n\nAdd the server first — authenticate via your [API key](https://app.famulor.de/api-keys) when prompted.\n

\n\n

Windsurf

\n\n`~/.codeium/windsurf/mcp_config.json`\n\n```json\n{\n \"mcpServers\": {\n \"famulor\": {\n \"serverUrl\": \"https://mcp.famulor.io/mcp\"\n }\n }\n}\n```\n\nAdd the server first — authenticate via your [API key](https://app.famulor.de/api-keys) when prompted.\n

\n\n

VS Code

\n\n`.vscode/mcp.json`\n\n```json\n{\n \"servers\": {\n \"famulor\": {\n \"type\": \"http\",\n \"url\": \"https://mcp.famulor.io/mcp\"\n }\n }\n}\n```\n\nAdd the server first — authenticate via your [API key](https://app.famulor.de/api-keys) when prompted.\n

\n\n

Cline

\n\n**Cline extension > MCP Servers > Configure**\n\n```json\n{\n \"mcpServers\": {\n \"famulor\": {\n \"url\": \"https://mcp.famulor.io/mcp\"\n }\n }\n}\n```\n\nAdd the server first — authenticate via your [API key](https://app.famulor.de/api-keys) when prompted.\n

\n\n

Continue

\n\n`~/.continue/config.yaml`\n\n```yaml\nmcpServers:\n - name: famulor\n type: streamable-http\n url: \"https://mcp.famulor.io/mcp\"\n```\n\nAdd the server first — authenticate via your [API key](https://app.famulor.de/api-keys) when prompted.\n

\n\n

OpenClaw

\n\n```bash\nopenclaw mcp add famulor --url https://mcp.famulor.io/mcp --transport streamable-http --auth oauth\nopenclaw mcp login famulor\n```\n\nOr in `~/.openclaw/openclaw.json`:\n\n```json\n{\n \"mcp\": {\n \"servers\": {\n \"famulor\": {\n \"url\": \"https://mcp.famulor.io/mcp\",\n \"transport\": \"streamable-http\",\n \"auth\": \"oauth\"\n }\n }\n }\n}\n```\n\nTip: there is also a ready-made Famulor skill — `openclaw skills install famulor-skill`.\n

\n\n

Hermes Agent

\n\n```bash\nhermes mcp add famulor --url https://mcp.famulor.io/mcp\nhermes mcp login famulor\n```\n\nOr in `~/.hermes/config.yaml`:\n\n```yaml\nmcp_servers:\n famulor:\n url: \"https://mcp.famulor.io/mcp\"\n auth: oauth\n```\n\nApply in-session with `/reload-mcp`.\n

\n\n

npx (stdio, any MCP client)

\n\nRun the server locally via npm — no hosted endpoint needed. Uses your\n[Famulor API key](https://app.famulor.de/api-keys) directly:\n\n```json\n{\n \"mcpServers\": {\n \"famulor\": {\n \"command\": \"npx\",\n \"args\": [\"-y\", \"famulor-mcp\"],\n \"env\": { \"FAMULOR_API_KEY\": \"your-api-key\" }\n }\n }\n}\n```\n\n

\n\n

Zed

\n\n`~/.config/zed/settings.json`\n\n```json\n{\n \"context_servers\": {\n \"famulor\": {\n \"args\": [\n \"-y\",\n \"mcp-remote@latest\",\n \"https://mcp.famulor.io/mcp\"\n ],\n \"command\": \"npx\"\n }\n }\n}\n```\n\nAdd the server first — authenticate via your [API key](https://app.famulor.de/api-keys) when prompted.\n

\n\n---\n\n## What you can do\n\nOnce connected, your AI assistant can call any of the **66 tools** spanning the full\nFamulor API. A non-exhaustive tour:\n\n**Assistants** — create, update, delete AI voice agents · list voices, languages, LLM/multimodal models, TTS/STT providers · toggle inbound and conversation-ended webhooks\n\n**Calls** — make outbound calls · list / get / delete call records\n\n**Campaigns** — create campaigns, manage retry rules and allowed-hours windows · start, stop and delete\n\n**Leads** — add leads (incl. secondary contacts) · update status and merge variables · delete\n\n**Knowledge bases** — create knowledge bases · upload website-scraped documents · update / delete\n\n**Phone numbers** — search by country and dial pattern · purchase · release · SIP trunk CRUD\n\n**Conversations** — list, read and reply to chat conversations · enable/disable AI per conversation for human takeover\n\n**WhatsApp** — list senders and templates · check 24h session window · send template or freeform messages\n\n**SMS** — send via your purchased numbers\n\n**Mid-call tools** — register custom HTTP integrations the assistant can call mid-conversation\n\n**AI Replies** — generate context-aware replies for external chat platforms\n\nAsk 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.\"*\n\n---\n\n## How auth works\n\nThe server speaks the standard MCP OAuth 2.1 flow (RFC 8414 metadata, RFC 7591\nDynamic Client Registration, PKCE S256). Your MCP client opens a browser tab,\nyou paste your Famulor API key, and the client receives an access token that\nthe server encrypts with AES-256-GCM. **Your API key never lands in any\ndatabase** — it lives only inside the token your client stores.\n\nTokens expire after 30 days; your client simply re-prompts.\n\n---\n\n## Self-hosting\n\nThe hosted server at `https://mcp.famulor.io` works out of the box, but you can\nrun your own if you prefer.\n\n### Deploy to Vercel\n\n```bash\ngit clone https://github.com/bekservice/Famulor-MCP.git\ncd Famulor-MCP\nvercel --prod\n```\n\nSet these env vars in the Vercel project:\n\n| Variable | Required | Value |\n| ------------- | -------- | ---------------------------------------------------- |\n| `MCP_SECRET` | yes | `openssl rand -hex 32` — encrypts OAuth tokens. |\n| `MCP_ISSUER` | rec. | Your public URL, e.g. `https://mcp.example.com`. |\n\nThen point your domain at the deployment and you're live. See\n[DEPLOYMENT.md](https://github.com/bekservice/Famulor-MCP/blob/main/DEPLOYMENT.md) for the full guide including stdio mode for\npower users.\n\n### Local dev\n\n```bash\nnpm install\necho \"MCP_SECRET=$(openssl rand -hex 32)\" > .env\nnpm run dev:http\n# server on http://localhost:8787\n```\n\n```bash\n# health\ncurl http://localhost:8787/health\n\n# OAuth metadata\ncurl http://localhost:8787/.well-known/oauth-authorization-server\n```\n\n---\n\n## License\n\nMIT\n","changelogMarkdown","videoKey","requiredSecretsJson","publishedAt","priceCents","trialDays",0,"categoryDisplayName","Communication","upstream",{"_95":96,"_97":98,"_99":100,"_101":102,"_103":104},"requiredSecrets",[],"tags",[],"assets",[],"stats",{"_93":80,"_94":80},"ratingAvg","reviewCount","topics",[105,106,107,108,109,110,111,112,113,114,115,116,117,118],"license","NOASSERTION","language","TypeScript","registryName","io.famulor/famulor-mcp","homepage","https://www.famulor.io","ai-calling","chatgpt","claude","cursor","famulor","mcp","mcp-server","model-context-protocol","model-context-protocol-servers","nodejs","phone-automation","typescript","voice-agent","voice-assistant","ENV",{"_121":122,"_123":124,"_125":126},"ENVIRONMENT","production","TURNSTILE_SITE_KEY","0x4AAAAAAB8-rEI2gNDf_QhU","SENTRY_DSN","https://45fd1229f78089d5c3ee78be128030e1@o4510583261757440.ingest.de.sentry.io/4510584253448272"]