Famulor

io.famulor由 famulor.io 發布官方發布者v1.0.0更新於 Nov 2, 2026

Manage AI assistants, history, calls, campaigns, contacts, knowledge, messaging, and automations.

已驗證Streamable HTTP可網頁執行效率與工作流溝通與協作

概覽

AI 產生的概覽

Famulor 平台的遠端 MCP 伺服器,讓助理管理 AI 語音助理、通話、活動、聯絡人、知識庫與訊息頻道。

可以做什麼
  • 建立、更新與刪除 AI 語音助理,列出語音、語言、模型及 TTS/STT 供應商
  • 檢視跨頻道歷史與通話紀錄,發起與管理通話
  • 建立並執行活動,設定重試規則與允許時段
  • 管理聯絡人、標籤、分群、抑制名單與活動成員
  • 建立與維護知識庫,包括上傳網站擷取的文件
  • 管理電話線路、訊息與電子郵件頻道,以及自動化、Webhook 與工作區設定
適用情境
適合已在 Famulor 工作區作業、希望用自然語言請助理建立或調整語音助理、啟動與監控活動、檢視通話紀錄,或透過 WhatsApp 等頻道發送訊息的情境。
執行需求
使用 app.famulor.io/mcp 遠端端點,無需安裝或自行架設。需在瀏覽器完成 OAuth 登入,選擇工作區並核准權限。伺服器對伺服器用戶端可改用 API 金鑰,以 Authorization Bearer 方式傳送。Famulor 方案須包含 Connect AI / MCP 功能,否則端點會回傳 403。
安裝前請注意
工具可建立、更新與刪除助理、活動、聯絡人與知識庫,也能撥打電話和發送訊息,會直接影響線上工作區資料。存取權限透過 OAuth 工作區權限或 Bearer API 金鑰授予,金鑰須妥善保管。通話與訊息可能依方案產生費用。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Famulor,將其新增到工作區。
  2. 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
  3. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/io.famulor%2Ffamulor-mcp/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。

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

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
bash
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

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

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

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

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

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

Continue

~/.continue/config.yaml

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

Or in ~/.openclaw/openclaw.json:

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
bash
hermes mcp add famulor --url https://app.famulor.io/mcphermes mcp login famulor

Or in ~/.hermes/config.yaml:

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

Apply in-session with /reload-mcp.

Zed

~/.config/zed/settings.json

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

來源:README.md,提交 d61aaa8

工具

0
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版本歷史

1
  1. v1.0.0最新Sep 16, 2026

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