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looply-mcp-server
Advanced tools
MCP Server for Looply AI - Expose your call center data to Claude, Manus, Cursor, and other AI agents via Model Context Protocol
Expose your Looply AI call center data to external AI agents (Claude Desktop, Manus, Cursor, etc.) via the Model Context Protocol.
# Run directly with npx (no install needed)
npx looply-mcp-server
# Or install globally
npm install -g looply-mcp-server
looply-mcp-server
Go to Settings → API Keys in your Looply dashboard at looplyauto.com and create a new key.
export DATABASE_URL="your-database-url"
export LOOPLY_API_KEY="your-api-key"
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"looply": {
"command": "npx",
"args": ["looply-mcp-server"],
"env": {
"DATABASE_URL": "your-database-url",
"LOOPLY_API_KEY": "your-api-key"
}
}
}
}
Add Looply as an MCP server in Manus settings with the same environment variables.
Add to .cursor/mcp.json in your project:
{
"mcpServers": {
"looply": {
"command": "npx",
"args": ["looply-mcp-server"],
"env": {
"DATABASE_URL": "your-database-url",
"LOOPLY_API_KEY": "your-api-key"
}
}
}
}
Ask your AI agent: "Show me today's call summary from Looply"
| Tool | Description |
|---|---|
list_calls | List recent calls with filters (status, direction, qualification) |
get_call | Get call details with transcript and AI summary |
search_calls | Search calls by name, phone, or intent keyword |
| Tool | Description |
|---|---|
list_contacts | List CRM contacts with search |
create_contact | Create a new contact |
get_contact | Get contact details |
| Tool | Description |
|---|---|
list_leads | List pipeline leads with stage/priority filters |
create_lead | Create a new lead |
update_lead | Update lead stage, priority, or value |
| Tool | Description |
|---|---|
get_dashboard_stats | Dashboard KPIs: calls, answer rate, leads, pipeline value |
get_call_analytics | Detailed analytics: trends, sentiment, qualification breakdown |
| Tool | Description |
|---|---|
list_scripts | List AI call scripts |
get_script | Get script with all steps |
update_script | Update script name, description, or active status |
| Tool | Description |
|---|---|
list_callbacks | List pending callbacks sorted by priority |
create_callback | Schedule a new callback |
complete_callback | Mark callback as completed |
| Tool | Description |
|---|---|
get_business_hours | Get business hours configuration |
update_business_hours | Update business hours and after-hours action |
list_routing_rules | List smart routing rules |
list_qualification_rules | List AI qualification rules |
get_organization | Get organization profile |
get_usage_summary | Get current billing period usage |
| Resource | URI | Description |
|---|---|---|
| Organization Overview | looply://organization/overview | High-level org stats for AI context |
The MCP server authenticates using API keys created in the Looply dashboard. Keys are SHA-256 hashed and matched against the api_keys table. Each key is scoped to a specific organization.
All MCP tool calls are audited through the SOVR gate_check layer. Every operation is logged with:
View audit logs at Settings → Audit Log in your Looply dashboard.
Once connected, try these with Claude or any MCP-compatible AI:
# Clone the repo
git clone https://github.com/xie38388/looply-clone.git
cd looply-clone/mcp-server
# Install dependencies
npm install
# Run in development mode
DATABASE_URL="..." LOOPLY_API_KEY="..." npm run dev
# Build for distribution
npm run build
# Test with MCP Inspector
npx @modelcontextprotocol/inspector npx tsx src/index.ts
# Login to npm
npm login
# Publish
npm publish
MIT
FAQs
MCP Server for Looply AI - Expose your call center data to Claude, Manus, Cursor, and other AI agents via Model Context Protocol
The npm package looply-mcp-server receives a total of 26 weekly downloads. As such, looply-mcp-server popularity was classified as not popular.
We found that looply-mcp-server demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.

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