
CallFlow AI
io.github.sarvin-techv1.0.0Updated Sep 29, 2026
Paid sales-call scoring and CRM next-step analysis for AI agents.
Overview
AI-generated overview
A remote MCP endpoint that scores sales calls and suggests CRM next steps for AI agents.
- What it does
- CallFlow AI is a hosted MCP server reachable at a fixed remote endpoint. According to its registry description, it provides paid sales-call scoring and CRM next-step analysis for AI agents. No tool list, README, or authentication details are published, so the exact operations it exposes are not documented in the supplied material.
- When to use it
- Consider it when an assistant needs to evaluate sales conversations or propose follow-up actions in a CRM workflow. Because the description says the service is paid and no tool details are published, verify pricing and capabilities before relying on it.
- Requirements
- A remote MCP client that can connect to the streamable HTTP endpoint at The manifest declares no authentication, no environment variables, and no headers, and no package installation is needed. Network access to the endpoint is required.
Before you install
The description states the service is paid, so calls may incur charges; confirm pricing and any account or billing setup first. No authentication is declared, so review what call or CRM data would be sent to this third-party endpoint before use. No tool list is published, so the scope of any write, send, or change actions is unknown.
Installation
In SourceWeft
- Open CallFlow AI in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Other MCP clients
Add this to your client's mcpServers config.
{
"mcpServers": {
"callflow-ai": {
"type": "http",
"url": "https://callflow-ai-nine.vercel.app/mcp"
}
}
}README
This repository has no README.
Tools
0Tool metadata has not been indexed yet.
Version history
1- v1.0.0LatestSep 29, 2026
