How do I install Chatflow?

Chatflow is a remote plugin. You do not need to install anything locally. Add the server URL to your AI app's MCP configuration and you are ready to go.

Is Chatflow safe to use?

Yes. Chatflow passed MCP Marketplace's automated security scan with a score of 10/10 (low risk). Every server on MCP Marketplace is security-scanned before it's listed; see the full security report on this page for the findings and permissions.

What AI apps work with Chatflow?

Chatflow uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Chatflow MCP Server

by Yersat

Developer ToolsLow Risk10.0MCP RegistryRemote

Free

Server data from the Official MCP Registry

WhatsApp CRM for AI agents: search contacts, read chats, manage the sales pipeline, send messages.

About

WhatsApp CRM for AI agents: search contacts, read chats, manage the sales pipeline, send messages.

Remote endpoints: streamable-http: https://valuable-sockeye-14.eu-west-1.convex.site/mcp

Security Report

10.0

Low Risk10.0Low Risk

Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

Endpoint verified · Requires authentication · 1 issue found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "io-github-yersat-chatflow": {
      "url": "https://valuable-sockeye-14.eu-west-1.convex.site/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

ChatFlow MCP

Connect your AI agent to your WhatsApp CRM.

ChatFlow is a WhatsApp/Telegram/Instagram CRM for small teams — a shared inbox, a drag-and-drop sales pipeline, AI auto-replies, and broadcast campaigns. This is its hosted MCP (Model Context Protocol) server: point Claude, Claude Code, Cursor, or any MCP-compatible agent at your workspace and it can search contacts, read conversations, manage your pipeline, and — when you allow it — send messages.

Endpoint: https://valuable-sockeye-14.eu-west-1.convex.site/mcp
Transport: Streamable HTTP (stateless)
Auth: Authorization: Bearer <API key> — create one in ChatFlow → Settings → AI agents (MCP)

Quick start

In ChatFlow, open Settings → AI agents (MCP) (workspace owner) and click Create API key. Copy it — it's shown once. Optionally give it an expiry.
Add the server to your client:

Claude Code

claude mcp add --transport http chatflow \
  https://valuable-sockeye-14.eu-west-1.convex.site/mcp \
  --header "Authorization: Bearer cfk_YOUR_KEY"

Claude.ai / Claude Desktop — Settings → Connectors → Add custom connector → paste the endpoint URL and set the Authorization: Bearer cfk_YOUR_KEY header.

Cursor — .cursor/mcp.json:

{
  "mcpServers": {
    "chatflow": {
      "url": "https://valuable-sockeye-14.eu-west-1.convex.site/mcp",
      "headers": { "Authorization": "Bearer cfk_YOUR_KEY" }
    }
  }
}

Full setup and troubleshooting: docs/setup.md.

Tools

Tool	What it does
`search_contacts`	Find contacts by name/phone substring
`list_conversations`	Recent chats with previews, unread counts, CRM fields
`get_conversation`	One chat: contact, notes, deal value, recent messages
`list_pipeline`	Kanban columns with the leads in each stage
`move_conversation`	Move a lead to a pipeline column
`update_lead`	Set notes / deal value on a conversation
`create_contact`	Create a WhatsApp contact + conversation from a phone number
`send_message`	Send a text to the customer (opt-in — see below)
`get_usage`	Subscription tier, limits, current monthly usage

Read tools are annotated read-only; send_message is annotated as a world-affecting write so well-behaved clients confirm before calling it.

Sending is opt-in

send_message messages a real customer, so it's off by default. The workspace owner enables it with the "Allow agents to send messages" toggle in Settings. While off, agents can read everything and draft replies, but every send is rejected with a message explaining the toggle. When on, agent sends count toward your monthly quota, appear in the inbox with the AI badge, pause the auto-reply assistant on that chat (so two AIs never answer at once), and support an idempotencyKey so a retry can't double-send.

Prompt-injection note: message text and notes an agent reads are written by your customers. Keep the send toggle off unless you trust the agent driving it.

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Chatflow MCP Server

About

Security Report

Findings (1)

Permissions Required

How to Connect

Documentation

ChatFlow MCP

Quick start

Tools

Sending is opt-in

Links

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