MessengerFlow MCP Server
Enables AI assistants to manage marketing campaigns, Facebook accounts, and lead generation tasks through the MessengerFlow platform. It provides tools for interacting with messaging inboxes, scraping leads, and accessing real-time performance analytics.
README
MessengerFlow MCP Server
MCP server for MessengerFlow — manage campaigns, accounts, leads, inbox, and analytics from AI assistants like Claude Desktop.
Setup
Claude Desktop
Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):
{
"mcpServers": {
"messengerflow": {
"command": "npx",
"args": ["@messengerflow/mcp-server"],
"env": {
"MESSENGERFLOW_API_KEY": "mf_your_key_here"
}
}
}
}
Remote Server (OAuth)
No API key needed — authenticates with your MessengerFlow account:
{
"mcpServers": {
"messengerflow": {
"url": "https://mcp.messengerflow.com/mcp"
}
}
}
Local Development
cd mcp
npm install
MESSENGERFLOW_API_KEY=mf_your_key npm run dev
Configuration
| Variable | Required | Default | Description |
|---|---|---|---|
MESSENGERFLOW_API_KEY |
Yes | — | API key (starts with mf_) |
MESSENGERFLOW_BASE_URL |
No | https://app.messengerflow.com/api/v1 |
API base URL |
To get your API key:
- Log in to app.messengerflow.com
- Go to Settings > API Keys
- Click Create API Key and copy the key (starts with
mf_)
Tools
| Tool | Description |
|---|---|
manage_campaigns |
Create, update, start/stop, delete campaigns. View leads and activity. |
manage_accounts |
Add, update, delete Facebook accounts. View stats and logs. |
manage_leads |
Import CSV, scrape groups/pages, merge, export lead collections. |
manage_inbox |
View conversations, search, send messages, manage read status. |
get_analytics |
Dashboard stats, activity charts, performance metrics. |
Resources
| URI | Description |
|---|---|
messengerflow://dashboard |
Dashboard stats |
Examples
- "List my campaigns"
- "Show dashboard stats"
- "How many unread messages do I have?"
- "Create a new campaign called 'Spring Launch'"
- "Export leads from collection X"
Build
npm run build # Outputs to dist/
npm start # Run built version
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.