
Swarmix Mcp
@diegotorreslopez81
Swarmix Mcp について
AI client acquisition autopilot. 15 MCP tools for LinkedIn, Email, X, Instagram & Blog outreach from Claude.
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"swarmix": {
"command": "npx",
"args": [
"swarmix-mcp"
],
"env": {
"SWARMIX_API_KEY": "your-api-key",
"SWARMIX_API_URL": "https://swarmix.co"
}
}
}
}ツール
14List all AI outreach agents with their status, platform, and last run time
Get performance statistics for a specific agent (connections, emails sent, open rates, etc.)
Trigger an immediate execution of an agent. The agent will run all enabled actions once.
Pause an active agent. It will stop running scheduled actions.
Resume a paused agent. It will start running scheduled actions again.
Search and filter leads in the database. Returns paginated results with name, email, company, status, and channel history.
Get the prospect funnel for an agent showing conversion at each stage (discovered -> contacted -> engaged -> replied -> converted)
Get recent activity log entries for an agent or all agents. Shows what actions were taken and their results.
Get an overview of all products, agents, and lead counts across the entire Swarmix account
Set up a complete outreach autopilot for a business. Creates a product and deploys AI agents for the recommended channels based on business type. Available types: coach, agency, realestate, recruitment, freelancer, other.
Create a new product/business to manage outreach for. The AI will analyze the website to learn the value proposition and audience.
Create a new AI outreach agent for a specific channel. Requires a product ID. Available platforms: linkedin, email, x, instagram, blog.
List available business templates for the setup_business tool. Shows business types with their default channels and descriptions.
Get current credit balance, monthly spending cap, and usage for the account.
概要
What is Swarmix MCP?
Swarmix MCP is a server that lets you control Swarmix’s AI outreach autopilot—deploying agents that find and contact ideal clients across LinkedIn, Email, X, Instagram, and Blog—through natural language from any MCP client like Claude or Cursor.
How to use Swarmix MCP?
Install with npx @swarmix/mcp and add the server to your MCP client configuration with SWARMIX_API_KEY and SWARMIX_API_URL environment variables. Then use natural language prompts or call tools like setup_business, create_product, list_agents, search_leads, etc.
Key features of Swarmix MCP
- One‑command business setup with agent creation
- Manage agents across LinkedIn, Email, X, Instagram, Blog
- View agent performance KPIs and conversion funnels
- Search leads by name, email, company, or status
- Pause, resume, or trigger agent execution
- Check credit balance and spending
Use cases of Swarmix MCP
- Set up full outreach for a new business by describing it in natural language
- Monitor and manage multiple outreach agents from a single chat interface
- Search for specific leads and view their status across channels
- Pause or resume campaigns without opening a separate dashboard
- Get instant performance stats and funnel data for any agent
FAQ from Swarmix MCP
What does Swarmix MCP do?
It lets you control Swarmix’s AI outreach autopilot—creating agents that find and contact leads across LinkedIn, Email, X, Instagram, and Blog—using natural language commands from any MCP client.
How do I install Swarmix MCP?
Run npx @swarmix/mcp and add a server entry to your MCP client configuration with a SWARMIX_API_KEY (JWT token) and SWARMIX_API_URL (default https://swarmix.co).
What platforms does Swarmix MCP support?
It supports LinkedIn, Email, X (Twitter), Instagram, and Blog outreach.
How is Swarmix MCP priced?
Swarmix uses pay‑per‑action pricing. Actions cost between $0.05 (like/follow) and $1.00 (blog article). New users start with 50 free actions.
What tools are available in Swarmix MCP?
Tools include setup_business, create_product, create_agent, list_agents, get_agent_stats, run_agent, pause_agent, resume_agent, search_leads, get_funnel, get_activity, get_dashboard, get_credits, and list_templates.
「その他」の他のコンテンツ
🚀 Model Context Protocol (MCP) Curriculum for Beginners
microsoftThis open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,
MCP Go 🚀
mark3labsA Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.
🪟 Windows-MCP
CursorTouchMCP Server for Computer Use in Windows
Core Philosophy: Connect, Unify, Respond
mindsdbDelegate anything. It comes back done.
XcodeBuildMCP
cameroncookeA Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.
コメント