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Swarmix Mcp

Swarmix Mcp

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github.com/diegotorreslopez81Business & Marketing0Updated 30w ago

About Swarmix Mcp

Swarmix MCP Server lets teams manage AI outreach agents for client acquisition through natural language in Claude, Cursor, or another MCP client. Its tools cover setup, agent controls, lead search, and performance data across LinkedIn, Email, X, Instagram, and blogs.

Key features

  1. 01Business and product setup
  2. 02Create platform-specific agents
  3. 03Run, pause, and resume agents
  4. 04Search leads and view funnels
  5. 05Review agent stats and activity
  6. 06Check dashboard and credits

Use cases

  1. 01Set up outreach for a business
  2. 02Pause an Instagram agent
  3. 03Check weekly LinkedIn performance
  4. 04Find leads by company

MCP support

Exposes tools for configuring Swarmix products and agents, managing outreach runs, and retrieving leads, analytics, activity, and credit balances to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"swarmix": {
"command": "npx",
"args": [
"-y",
"swarmix-mcp"
],
"env": {
"SWARMIX_API_KEY": "<SWARMIX_API_KEY>",
"SWARMIX_API_URL": "<SWARMIX_API_URL>"
}
}
}
}
Run commandnpx -y swarmix-mcp
Environment variables to set
SWARMIX_API_KEYSecret
SWARMIX_API_URL

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmswarmix-mcp

Tools

14

Saved tool list · updated 3w ago

This tool takes no parameters.

Details

From the project README

Swarmix MCP Server

Control your AI outreach autopilot from Claude, Cursor, or any MCP client.

Swarmix deploys AI agents that find and reach your ideal clients across LinkedIn, Email, X, Instagram, and Blog -- on autopilot. This MCP server lets you manage everything through natural language.

Install

npx @swarmix/mcp

Configure

Add to your MCP client config:

{
  "mcpServers": {
    "swarmix": {
      "command": "npx",
      "args": ["@swarmix/mcp"],
      "env": {
        "SWARMIX_API_KEY": "your-jwt-token",
        "SWARMIX_API_URL": "https://swarmix.co"
      }
    }
  }
}

Tools

Setup & Creation
ToolDescription
setup_businessOne-command setup: select business type -> creates product + agents for recommended channels
create_productCreate a product/business with website analysis
create_agentCreate an agent for a specific platform
list_templatesList available business templates
Agent Management
ToolDescription
list_agentsList all agents with status and platform
get_agent_statsGet performance KPIs for an agent
run_agentTrigger immediate agent execution
pause_agentPause an active agent
resume_agentResume a paused agent
Leads & Analytics
ToolDescription
search_leadsSearch leads by name, email, company, status
get_funnelView conversion funnel
get_activityView recent activity log
get_dashboardOverview of all products and agents
get_creditsCheck credit balance and spending

Example Prompts

"Set up outreach for my coaching business at lifecoach.com"
"Show me all my agents and their status"
"What are my LinkedIn agent stats for this week?"
"Pause the Instagram agent"
"Search for leads at company Acme"
"How many credits do I have left?"

Pricing

Swarmix uses pay-per-action pricing. Each agent action costs credits:

  • Like/Follow: $0.05
  • Tweet/Comment/DM/Email: $0.25
  • LinkedIn/Instagram Post: $0.50
  • Blog Article: $1.00

Start with 50 free actions at swarmix.co.

License

MIT -- Infinite Labs OU

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.