
toflow.ai
β 3from toflow-ai
Run your entire sales outreach by chatting with AI
toflow MCP Server
toflow.ai is an AI-native multi-channel outreach platform for sales teams. This MCP server gives AI assistants direct access to your toflow.ai workspace β prospecting, multi-channel outreach (email, LinkedIn, WhatsApp), sequences, enrichment, CRM, and AI automations.
Server URL
https://mcp.toflow.ai/mcp
Authentication
OAuth 2.0 (Authorization Code). Your MCP client will redirect to the toflow.ai login page on first connect. Tokens are valid for 90 days.
Endpoint URL
Authorization https://mcp.toflow.ai/oauth/authorize
Token https://mcp.toflow.ai/oauth/token
Dynamic Registration https://mcp.toflow.ai/oauth/register
Discovery https://mcp.toflow.ai/.well-known/oauth-authorization-server
Connect
Claude Desktop / Cursor / Windsurf
{
"mcpServers": {
"toflow": {
"type": "http",
"url": "https://mcp.toflow.ai/mcp"
}
}
}
What you can do
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Prospecting β search for prospects using Sales Navigator-style filters; find prospects from your connections, post comments, and reactions
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Sequences β build multi-step outreach sequences across email, LinkedIn, and WhatsApp; enroll contacts with personalised content; track open and reply rates
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Email β draft, send, reply, forward, and track emails from connected accounts
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LinkedIn & WhatsApp β message connections, send connection requests, and start conversations across channels
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Enrichment β find verified emails and phone numbers from LinkedIn profiles; bulk enrich entire lists
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Lists β organise prospects into lists with saved filtered views
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AI Automations β create and run AI agents that operate on your workspace autonomously
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Tasks, Notes & Calls β log calls, create follow-up tasks, and attach notes to any record
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Dashboards β build custom reports and dashboards from your CRM data
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CRM β create, search, and update people, companies, and deals
Tool Reference
See docs/mcp-tools.md for the full list of available tools.
Support
Requirements
- A toflow.ai account β sign up free
No common issues documented yet. If you hit a problem, the repository's GitHub Issues page is the best place to look.