MuntuAI MCP

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Allow your agents to launch personalized outbound campaigns

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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

What Agents Can Do

Resources (read-only views)

Resource	URI	Description
workspace	`muntu://workspace/{id}`	Profile, policy, infrastructure counts
domains	`muntu://domains/{id}?cursor=0&limit=50`	All domains with DNS and verification state
senders	`muntu://senders/{id}?cursor=0&limit=50`	All email accounts with status
campaigns	`muntu://campaigns/{id}?cursor=0&limit=20`	Unified campaign list
campaign-plans	`muntu://campaign-plans/{id}?cursor=0&limit=20`	Draft review queue
events	`muntu://events/{id}?cursor=0`	Recent 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

Copy & paste — that's it

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

Documentation issues: Open an issue in this repo
Platform support: support@muntuai.com
Website: muntuai.com

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:

Level	What it can do
`observer`	Read anything — campaigns, leads, domains, senders, events
`copilot`	Read + create and modify — campaigns, domains, senders, leads, webhooks
`autonomous`	Everything 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):

Copy & paste — that's it

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

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

Copy & paste — that's it

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

Python:

Copy & paste — that's it

pip install requests
export MUNTU_AGENT_KEY="mnt_YOUR_KEY_HERE"
python clients/python/muntu_mcp_client.py list-campaigns

Recommended:

Copy & paste — that's it

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:

Copy & paste — that's it

python clients/python/muntu_mcp_client.py list-campaigns
python clients/python/muntu_mcp_client.py list-domains
python clients/python/muntu_mcp_client.py list-emails