MuntuAI

io.github.design-smith由 GitHub 账号 design-smith 发布v1.0.0更新于 Oct 24, 2026

Hosted MCP server for MuntuAI outreach campaigns, leads, senders, domains, and analytics.

已验证Streamable HTTP可网页运行沟通与协作商业与电商

概览

AI 生成的概览

面向 MuntuAI 邮件外联的托管 MCP 服务器,让助手管理某个工作区中的活动、线索、发件人、域名和 Webhook。

可以做什么
通过 muntu:// URI 读取工作区、域名、发件人、活动、草稿队列和事件资源,支持分页与筛选。创建、启动、暂停、恢复、监控并发送邮件活动,审阅草稿。从数组或 CSV 链接导入线索,并进行丰富和抽样。添加、验证和检查域名状态;创建、删除、健康检查发件人并分配到活动。预览、润色和生成活动邮件内容,并通过 Webhook 订阅工作区事件。
适用场景
当助手需要操作 MuntuAI 邮件外联工作区时使用:启动或监控活动、导入并丰富线索、配置发信域名,或把 Webhook 通知接入代理流程。
运行要求
远程 MCP 端点,使用 streamable HTTP,无需本地安装包。需要 MuntuAI 账号,并在设置中创建代理密钥,以 Authorization bearer 令牌形式发送,格式为 Bearer mnt_ . 。密钥绑定单个工作区,并带有自主级别(observer、copilot 或 autonomous)。需要能访问 MuntuAI API 的网络。
安装前请注意
代理密钥是仅显示一次的机密,应存放在环境变量或密钥管理器中,不要提交到代码库或粘贴到共享文件。自主级别决定代理可执行的操作:copilot 可创建和修改,autonomous 还可暂停、恢复和删除。发送活动和为域名验证发布 DNS 记录会影响真实邮件投递和外部系统。被拒绝的调用会被记录。

安装

在 SourceWeft 中

  1. 打开 控制台中的 MuntuAI,将其添加到工作区。
  2. 连接 Authorization token 凭据。它们会被私密存储,绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.design-smith%2Fmuntuai-mcp/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "muntuai": {
      "type": "http",
      "url": "https://api.muntuai.com/api/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_TOKEN>"
      }
    }
  }
}

README

MuntuAI MCP

This repository contains the public documentation, manifest, and reference clients for the live MuntuAI MCP server. The runnable server implementation lives in the main Muntu backend.

The official Model Context Protocol (MCP) server for MuntuAI — giving AI agents programmatic access to email outreach campaigns, lead management, domain infrastructure, and real-time workspace events.


What This Is

MuntuAI is an AI-native email outreach platform. This MCP server lets external agents (Claude, Cursor, custom scripts) connect to a MuntuAI workspace and perform actions: create campaigns, import leads, verify domains, send emails, and subscribe to webhook events — all through a standard MCP interface over HTTP.

Protocol: Model Context Protocol over HTTP (JSON-RPC 2.0)
Transport: Streamable HTTP (text/event-stream or application/json)
Server protocol revision: 2025-03-26
Server URL: https://api.muntuai.com/api/mcp


Quick Start

1. Get an agent key

Log in to app.muntuai.com, go to Settings → Agent Keys, and create a key. Choose the autonomy level that matches what your agent needs:

LevelWhat it can do
observerRead anything — campaigns, leads, domains, senders, events
copilotRead + create and modify — campaigns, domains, senders, leads, webhooks
autonomousEverything above + pause, resume, delete

You will see the raw key once: mnt_<keyId>.<secret>. Copy it immediately.

2. Configure your client

Security note: store the raw agent key in an environment variable or secret manager. Do not commit it to source control or paste it into shared files.

Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):

json
{  "mcpServers": {    "muntu": {      "url": "https://api.muntuai.com/api/mcp",      "headers": {        "Authorization": "Bearer ${env:MUNTU_AGENT_KEY}"      }    }  }}

Cursor (.cursor/mcp.json or Settings → MCP):

json
{  "mcpServers": {    "muntu": {      "url": "https://api.muntuai.com/api/mcp",      "headers": {        "Authorization": "Bearer ${env:MUNTU_AGENT_KEY}"      }    }  }}

Python:

bash
pip install requestsexport MUNTU_AGENT_KEY="mnt_YOUR_KEY_HERE"python clients/python/muntu_mcp_client.py list-campaigns

Recommended:

bash
export MUNTU_SESSION_ID="$(uuidgen)"

Muntu uses the optional MUNTU_SESSION_ID to group requests into one logical MCP session for session-scoped safety controls and budgeting.

3. Make your first call

Once connected, ask your agent:

"List all campaigns in my MuntuAI workspace"

The agent will call resources/read on muntu://campaigns/{workspaceId} and return the campaign list.

Or via Python CLI:

bash
python clients/python/muntu_mcp_client.py list-campaignspython clients/python/muntu_mcp_client.py list-domainspython clients/python/muntu_mcp_client.py list-emails

What Agents Can Do

Resources (read-only views)

ResourceURIDescription
workspacemuntu://workspace/{id}Profile, policy, infrastructure counts
domainsmuntu://domains/{id}?cursor=0&limit=50All domains with DNS and verification state
sendersmuntu://senders/{id}?cursor=0&limit=50All email accounts with status
campaignsmuntu://campaigns/{id}?cursor=0&limit=20Unified campaign list
campaign-plansmuntu://campaign-plans/{id}?cursor=0&limit=20Draft review queue
eventsmuntu://events/{id}?cursor=0Recent system events (filterable)

Tools (30 total)

Grouped by domain — see tools/README.md for the full index.

  • Campaigns — create, launch, pause, resume, monitor, review drafts, send
  • Leads — import from array or CSV URL, enrich, sample
  • Senders — create, delete, health check, assign to campaign
  • Domains — add, verify, check status
  • Email generation — preview, refine, generate campaign guide
  • Webhooks — subscribe to workspace events
  • Meta — get agent key info

Repository Structure

muntuai-mcp/├── README.md                    # This file├── QUICKSTART.md                # 5-minute setup guide├── docs/│   ├── authentication.md        # Token format, headers, rate limits│   ├── autonomy-levels.md       # Permission model│   ├── resources.md             # All 6 resources with schemas│   ├── events.md                # All event types and payloads│   ├── webhooks.md              # Register, sign, verify│   └── errors.md                # Error codes and handling├── tools/│   ├── README.md                # Full tool index│   ├── campaigns.md│   ├── leads.md│   ├── senders.md│   ├── domains.md│   ├── email-generation.md│   └── meta.md├── workflows/│   ├── README.md                # What workflows are│   ├── launch-first-campaign.md│   ├── review-and-send-drafts.md│   ├── domain-setup.md│   └── monitor-campaign.md├── reference/│   ├── event-types.md│   ├── resource-schemas.md│   └── tool-schemas.md├── clients/│   └── python/│       ├── muntu_mcp_client.py  # Reference Python client│       ├── README.md│       └── examples/├── agent-guides/│   ├── for-claude.md│   ├── for-cursor.md│   └── decision-guide.md└── .well-known/    └── mcp-manifest.json        # Machine-readable capabilities manifest

Key Concepts

Workspace — All data in MuntuAI is scoped to a workspace. Your agent key is bound to one workspace and can only access data within it.

Autonomy levels — Every tool has a minimum required level. If your key's level is below the requirement, the call is rejected and the attempt is logged. See docs/autonomy-levels.md.

Campaign lifecycle — uploaded → enriching → drafting → sending → completed. Agents can observe this lifecycle through get_campaign_performance and the events resource. See workflows/monitor-campaign.md.

Domain verification — Before sending, a domain must be verified with the email provider. This involves publishing DNS records and triggering verification. See workflows/domain-setup.md.


Support

来源:README.md,提交 b959b64

工具

0
该服务器需要 API 密钥等凭据,因此 SourceWeft 无法在没有凭据的情况下读取其工具,也未收录。

版本历史

1
  1. v1.0.0最新Sep 16, 2026

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